The Effect of Physical Stability and Modified Gastrointestinal Tract Behaviour of Resveratrol-Loaded NLCs Encapsulated Alginate Beads

The Effect of Physical Stability and Modified Gastrointestinal Tract Behaviour of Resveratrol-Loaded NLCs Encapsulated Alginate Beads | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article The Effect of Physical Stability and Modified Gastrointestinal Tract Behaviour of Resveratrol-Loaded NLCs Encapsulated Alginate Beads Sangeethkumar Manikandan, Preethy Ani Jose, Arjunan Karuppaiah, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4181006/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 15 Jun, 2024 Read the published version in Naunyn-Schmiedeberg's Archives of Pharmacology → Version 1 posted You are reading this latest preprint version Abstract Nanostructured lipid carriers (NLC) have low storage and gastrointestinal stability, limiting their applicability. The work aimed to elevate the stability and behaviour of NLC in the alimentary tract by creating an Alginate bead. Through the extrusion dropping procedure, Resveratrol (RES) loaded NLC were efficiently integrated into alginate beads. The incorporation had no significant impact on the particle size, morphology, or inner structure of NLC, as assessed using DLS (Dynamic Light Scattering), SEM (Scanning Electron Microscopy), Differential Scanning Calorimetry (DSC) and FT-IR (Fourier Transform Infra-Red). Incorporating NLC into alginate beads improves its physical stability compared to Dispersion of NLC as well as NLC-Sol. An in vitro release investigation found that the NLC-alginate beads released RES more slowly than optimized NLC formulation (RES-NLCs-opt) and NLC-alginate sol. Research on simulated in vitro digestive models revealed that just a small amount of integrated NLC may permeate stomach fluid due to its tiny size. The slow diffusion of NLC from alginate to intestinal fluid prevented aggregation and allowed for gentle hydrolysis of the lipid matrix. Incorporating NLC in alginate beads shows promise for improving stability, modifying gastrointestinal behaviour, and controlling release throughout the process of digestion. Nanostructured lipid carriers Resveratrol Alginate beads Lipid digestion Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Introduction Nanomaterials provide novel drug delivery methos with therapeutic promise and they have been more popular in the pharma field and medical research throughout the past decade. Lipid-based nanoparticles (LNPs) are one type of nanomaterial that has demonstrated impressive and potential therapeutic results [ 1 ]. Solid lipid nanoparticles (SLN) are the earliest class of lipid nanoparticles [ 2 ]. Physical instability upon storage is the primary drawback of SLN. The solid lipids that make up SLN undergo crystallization. This has an impact on the system's entrapment efficiency [ 3 ]. The late 1990s saw the development of Nano structured Lipid Carriers (NLC), the second-generation of nano lipid transporters, which were designed to address the shortcomings of SLN. NLCs comprised of awater-based system with a surfactant as well as a combination of liquid and solid lipids. As a result, the NLC structure becomes more defective, which enhances drug loading and integration efficiency [ 4 ]. The lipids in these formulations are physiologically compatible, which is significant for reducing toxicity [ 5 ]. Nevertheless, the usage of NLC is restricted as a result of its very low stability, encompassing both storage and gastrointestinal stability. NLC is still undergoing polymeric transformation, which might cause it to aggregate by expanding its exposed surface area and creating platelet-shaped nanostructures [ 6 ]. On the other hand, because NLC are made of lipids and are based on nano emulsions, they can readily aggregate as they transit through the gastro intestinal tract, which is detrimental to the bioavailability and regulated release of lipophilic drug [ 7 ]. The primary approach has been used to enhance the performance of lipid nanoparticles is polymer-coated particles of lipids [ 8 ]. These approaches include the use of several biodegradable polymers, such as polysaccharides and proteins. Polymers can be added to the mixture either before or after NLC develops using the coating process based on electrostatic interaction to form polymer-coated NLC [ 9 , 10 ]. The NLC's size and structure may alter as a result of this coating method due to the intricate interaction between the NLC and coating layer. The NLC-loaded alginate beads had been created using alginate as the polymer, owing to its facile manufacturing process. Alginate is a polysaccharide that contains D-mannuronic and L-guluronic acid residues with extremely low toxicity and biocompatibility [ 11 ]. It is soluble in neutral and alkaline environments due to its charged carboxyl units, which are present at pH levels larger than 3.4. This property encourages the widespread use of alginates [ 12 ]. For certain medications that look for additional protection with favoured absorption in the gastrointestinal system or for other situations like customized drug release, alginate is a superior polymer. Alginate is therefore the best biomaterial for medication delivery systems [ 13 ]. The current study's objective was to create an NLC-Alginate beads in order to enhance NLC's stability in physical form and alter its behaviour inside the gastrointestinal system. Blueberries and grapes are good sources of a polyphenol called Resveratrol (RES); a lipophilic substance was utilized as a model drug. Research has indicated that it possesses cardioprotective, anti-inflammatory, antioxidant, and anti-cancer properties. The extrusion dropping technique was used to integrate the NLC loaded with resveratrol into alginate beads. Size and surface morphology was analysed using SEM (Scanning Electron Microscopy) and a technique called DLS (Dynamic Light Scattering) and, to assess how this addition affected the NLC properties by FTIR (Fourier Transform Infra-Red) analysis. Analysing yield efficiency and entrapment efficiency was part of the examination of leaks that happened throughout the incorporation process. The effectiveness of this incorporation was further assessed by an in vitro release research, an in vitro digestion study, and a physical stability investigation. Materials and Methods Material Resveratrol procured from Sami sabinsha group limited (Bangalore, India). Capmul MCM, Captex 100 were procured from ABITEC Corporation. Stearic acid, Ethyl Oleate, GMS (Glyceryl mono stearate, Cetyl Palmitate, Span 80, Tween 80, Poloxamer 188, Calcium chloride were acquired fromLoba chemie Pvt.Ltd (Mumbai, India). Labrafac PG, Compritol 888 ATO (Glyceryl dibehenate), Precirol ATO were purchased Gattefossé Pharmaceuticals (France).Glyceryl Mono Oleate, Palmitic acid were obtained from Mohini Organics (Mumbai, India). Sigma Aldrich provided water and methanol of HPLC quality (St Louis, Missouri, USA). Dialysis bag (2.4 nm pore size, MW cut off 12000–14000 DA). The experiment involved the use of just analytical-grade chemicals for all other components. Method Selecting suitable lipids The maximum solubility of RES in each kind of lipid was taken into consideration while choosing liquid and solid lipids. 2mL of Eppendorf tubes were taken and filled with 1mLof liquid lipid (Ethyl Oleate, Capmul MCM, Maisine CC, Captex 100, Oleic Acid, GMO, Labrafac PG), and each tube received an excess of RES. After that, the tubes were housed within a chamber with shakers for 48 hrs at 100 rpm and 37°C. In a similar manner, 1 gram of solid lipid that has melted (5°C over the melting point), Compritol 888 ATO (Glyceryl dibehenate), GMS (Glycerol monostearate), Cetyl palmitate, Stearic Acid, Precirol ATO 5 (Glyceryl Palmitostearate), Palmitic Acid, Cetyl Alcohol, Geleol was continuously stirred with a magnetic stirrer while the surplus RES was added. The mixture's saturation solubility of RES was detected when its transparency began to loosen. The mixture was spun in a Remi centrifuge set at 5000 rpm for 15 minutes. After the appropriate dilution procedure, the concentration of RES in the supernatant was measured at 306 nm using a UV-visible Spectrophotometer [ 14 ]. The physical harmony between liquid and solid lipid Both lipids, liquid as well as solid were mixed and melted in many glass tubes at a constant 1:1 ratio. The two-phase lipid combination was given time to reach room temperature while it was still molten. Next, the glass tubes were visually inspected to ensure that there were no distinct layers in the stagnated lipid mixture. To assess the miscibility in both (liquid and solid) lipids, a sample of the stagnated lipid mixture that had cooled down was also spread onto filter paper. Any oil residue on the filter paper was then visually seen to be removed. A binary combination with a melting point over 70°C that did not leave any oil droplet residue on the filter paper was chosen for the production of RES-loaded NLCs [ 15 ]. Binary Lipid phase selection The binary lipid mixture's melting point was used to calculate the proportion of chosen solid to liquid lipids. Using a hot plate magnetic stirrer, it was demonstrated that the multimodal lipid mixtures could be melted and then swirled at 200 rpm for an hour at a temperature that was 5°C over the solid lipid's melting point. A combination of both solid and liquid lipids was prepared in a proportion ranging between 90:10 and 10:90. It was then allowed to cool to ambient temperature and harden. The capillary method was used to determine the stagnated lipid mixtures' melting points [ 16 ]. Choosing the right surfactant The surfactant's capacity to emulsify solid-liquid binary lipid (SLB) was taken into account while deciding it for NLC development.100 mg of SLB added with 3ml of methylene chloride, to this 10 ml of 5% surfactant solution was added and this blend was then magnetically spun at 40°C for eliminating the organic phase. Then the final mixture was diluted using Milli-Q water. The percentage transmittance of the resultant samples was determined at 510 nm using a UV spectrophotometer [ 17 ]. Development of NLCs of RES Utilizing high-speed homogenization, RES loaded NLC dispersion was prepared. Melting the solid and liquid lipids above the temperature at which they melt (75°C). The lipid phase holds the resveratrol. Drop by drop, the aqueous phase having the surfactants was included to the lipid phase. After that, it was agitated for thirty minutes using a magnetic stirrer. After forming a pre-emulsion, it was homogenized at high speed (3 cycles of 5 minutes each) for 15 minutes at different rpm in order to generate stable NLCs [ 18 ]. Statistical experimental design for optimization For the optimization of RES-NLCs, three independent factors with three levels (high, intermediate and low) of Box-Behnken statistical design was used, because they provided an adequate number of experimental runs. The dependent variables that were chosen are particle size (PS, nm, Y1), Poly dispersity Index (PdI, Y2), and Entrapment Efficiency (EE, %, Y3). The program produced 17 testing runs with five repeated experiments. Every experiment run was completed, and the data for the dependent variable fits into the program. To find the best-fit model, all answers (Y1, Y2, Y3) were fitted into several models, including linear, second-order, cubic, and quadratic. Statistical regression analysis and analysis of variance (ANOVA) were carried out for each model. Using Three-dimensional graphs (3D), the interaction influence of the factors over the individual solutions was ascertained [ 19 ]. Developing NLC-Alginate Sol To thoroughly hydrate the sodium alginate, distilled water was mixed with a specific quantity of 1.5% (w/v) Sodium alginate and stirred for a whole day. After that, the mixture was left in place for at least sixty minutes to eliminate air bubbles and form the stock solution of alginate. The freshly made RES-loaded NLC was introduced towards the solution contains alginate in a 1:1 (v/v) ratio to create the NLC-alginate sol. To stop the creation of air bubbles, the liquid was then thoroughly stirred for five minutes at ambient temperature using the magnetic stirrer. Production of the NLC-alginate beads Three methods were used to create NLC-alginate beads: dripping, ionic gelation, and extrusion, with minor modifications to the described protocol [ 20 ]. In short, a hypodermic needle with syringe (3 mL) was used to dropping NLC-alginate sol, gradually into a CaCl 2 hardening solution (5% w/v in 20ml). A distance of 5 cm was maintained during the whole process between the needle and the hardening solution. After protrusion, the resultant NLC-alginate beads were carefully combined with calcium chloride solution and allowed to harden for 60 minutes at room temperature. Eventually, a pipette was used to gently collect all of the calcium chloride hardening solution [ 21 ]. Characterization Particle size, Poly Dispersity Index and Zetapotential Analysis The mean Particle size, Polydispersity index (PdI) and Zetapotential (ZP) were estimated using the Dynamic Light Scattering (DLS) method with a Malvern zetasizer (ZS 90, Malvern Instruments, UK). The diluted sample was put into a cuvette and tested against water as a solvent at a temperature of 25°C and a 90 ° dispersion angle[ 22 ]. Alginate beads were denatured using cation chelators, which is 55 mM sodium citrate and filtered to exclude the NLC before the size of the NLC included in them was measured [ 21 ]. Morphological Examination RES-incorporated NLC Alginate beads and optimized RES-NLCs (RES-NLCs-opt) formulation were examined using an EVO 18 model scanning electron microscope to determine their form and surface morphology [ 23 ]. Before the SEM observation, NLC integrated in beads was recycled by NLC-alginate beads in a solution containing cation molecules (55 mM sodium citrate) [ 21 ]. FTIR study Research was conducted utilizing an FTIR spectrometer (FT-IR 8400 Shimadzu 240V, Japan) to conduct Fourier transform infrared spectroscopy. All specimens were lyophilized prior to testing. At a resolution of 1/cm, the NLC-alginate beads' spectra were captured throughout a scanning range of 500–4000/cm [ 24 ]. Differential Scanning Calorimetry (DSC) Differential scanning calorimetry (Mettler – DSC 3) was used to estimate the thermogram for the lyophilized NLC and physical combination (Resveratrol, compritol 888 ATO and Poloxamer 188). Seven milligrams of every sample were weighed within a pan made of aluminium, and they were scanned under a nitrogen environment with 30℃ to 300℃ temperature range at an uninterrupted rate of 10°C/min. An empty closed aluminium pan was employed as a source [ 25 ]. Entrapment Efficiency and Yield Efficiency Using the ultrafiltration technique, the entrapment effectiveness of NLC-alginate sol and RES-NLCs-opt was evaluated [ 26 ]. At 10,000 rpm, 400 µl of the sample was centrifuged for 30 minutes and then put into ultrafiltration centrifugal filter assembly tubes, which had a 10 kDa molecular density threshold (Millipore Inc., USA). It was established how much resveratrol was present in both the ultrafiltrate (free resveratrol) and the NLC sample, use a spectrophotometer set to 306 nm in wavelength [ 27 ]. The preceding equation was applied in order to ascertain the entrapment efficiency: A spectrophotometer was used to measure the total quantity of Resveratrol that was extracted using ethanol from the mixture of the washing water and the acquired calcium chloride thickening solution. Following the crosslinking process, the Efficiency of yield (YE), This was determined using the following equation and identified as the % of RES integrated in NLC-alginate beads. Investigation on In vitro release Applying the dialysis bag, the release of in vitro resveratrol from optimized NLC (RES-NLCs-opt), sol of NLC-alginate, and NLC-alginate beads has been investigated. Before the release trial, the NLC (RES-NLCs-opt), sol of NLC-alginate and NLC-alginate beads was diluted with an equivalent volume of distilled water. Then they were added to the dialysis bag and floating in 200 mL of receptor medium (pH 1.2 and 6.8) with movement at 200 rpm under controlled conditions of 37°C for 24 hours [ 28 ]. Study of kinetic release The kinetic release types Zero and First order, Weibull model, Hixson Crowell's, Higuchi kinetic and Korsmeyer-Peppas were matched to the in vitro release description of RES-NLCs-opt. The most appropriate kinetic release type was chosen by the regression coefficient parameter. Investigation of In vitro digestion This assessment examined the behaviour of RES-NLCs-opt, Sol of NLC-alginate dispersion, and NLC loaded alginate beads in the digestive system relying an intuitive two-step in vitro digestion simulation which involved the intestinal and stomach phases. The model underwent minor modifications from prior research and an international consensus process [ 29 ]. To acquire the same concentration of nanoparticles in the NLC optimized formulation as in the NLC-alginate sol, the recently generated NLC formulation was mixed with an equivalent quantity of distilled water before the digestion examination. Gastric mode A specified quantity of NLC-alginate beads (3 mL preceding to the cross-linkage procedure, that including 1.5 mL initial NLC formulation), the diluted optimized NLC (3 mL, comprising 1.5 mL initial NLC formulation), and the NLC-alginate sol (3 mL, that include 1.5 mL initial NLC formulation) were each combined with 10 mL of Gastrointestinal fluid model (1.2 pH) having 3.2 g/L of pepsin also 2g/L of Sodium chloride (NaCl). After that, the blend was allowed to stand for two hours at 100 rpm in a water bath with continuous stirring in order to replicate the motility of the gastric tract [ 30 ]. Subsequently the simulated stomach digestion was finished, the size distribution of NLC in the digest was assessed using the DLS method. Intestinal mode An equivalent volume of simulated intestinal fluid (SIF) containing quantity of the 0.6 mM-of calcium chloride with pancreatic lipase (4 g/L) in PBS (pH 6.8) was combined with 13 ml of the stated above digestion sample from the stomach phase. Subsequently, the pH was promptly corrected to 6.8 using 1 M NaOH, then for two hours at 37°C, the blend was constantly mixed at 100 rpm by introducing the pH-stat titration technique [ 31 ] through lipolysis, the amount of free fatty acids (FFA) was liberated from the lipid matrix of NLC to investigate its digestion process in mimicked intestinal fluid. Using NaOH (0.1 M), the mixed solution's pH was kept at 7.4. The amount of FFA produced by the lipid matrix's lipolysis was calculated using the following method, which was based on the quantity of NaOH used at various intervals [ 32 ]. V NaOH = Volume of NaOH needed to neutralize the FFA. W lipid = Total oil mass comprised of triacylglycerol originally present in the digestion media (g). MNaOH = Molarityof NaOH M lipid = Triacylglycerol oil's molecular mass (g/mol). Stability study For 90 days, a stability study was conducted for RES-NLCs-opt, NLC-Alginate Sol, and NLC-Alginate beads at 25℃/60% RH in accordance with ICH guidelines. The sample was put into a stability chamber in a vial made of borosilicate glass. Particle size was measured on a sample that was taken out at certain intervals (0, 30, 60, and 90 days). Results and Discussion Assigning suitable lipids The different liquid lipids' RES solubility orders includeMaisine CC > Labrafac PG > Capmul MCM > GMO > Captex 100 > Ethyl Oleate > Oleic Acid. In terms of solid lipids, Compritol888 ATO > GMS > Precirol ATO 5 > Stearic acid,cetyl alcohol > Palmitic acid > Geleol > Cetyl Palmitate. Maisine CC (liquid lipid, 3.76 +/- 1.07 mg/ml) and Compritol 888 ATO (solid lipid, 24 +/- 1.5 mg/g) were determined to have the highest solubility of RES (Fig. 1). Selection of surfactant The emulsification capability of the lipids was taken into consideration while choosing the kind of surfactant. The lipid surfactant solution's % transmission was used to calculate it. Various surfactants were employed in the screening procedure. Poloxamer 188 demonstrated the maximum transmittance in this instance, at almost 97%. Poloxamer 188 is a non-ionic surfactant that poses no physiological concern to human health [ 33 ]. This particular surfactant has a high capacity for emulsification and is amphiphilic (HLB = 29) [ 34 ]. Transmittance of various surfactant expressed in Fig. 1. Binary Lipid phase selection Solid lipid -liquid lipid ratio 70:30 was best fit for melting point of solid lipid which is 60°C -70°C. Optimization Design-Expert 13 software was used to optimize the optimized initial batch of prepared RES-NLCs (Box-Behnken design) [ 35 , 36 ]. The all seventeen formulations with five centre points along with their corresponding results are listed in Table 1. All of the responded data were fitted into several models, including quadratic, second-order, and linear ones. Because the quadratic model had a greater regression coefficient than the other models, it was determined to be the best match for all answers. For each response (PS, PdI, and EE), an ANOVA of the best-fit model (quadratic) was computed and presented inTable 2. A model in quadratic form encompassing each response, yielded a P < 0.0001 value, suggesting the significance of the model (Table 3). 3-D graph of how factors contributed more than individual solutions are represented in Fig. 2. Table 1 Formulation composition of NLCs Formulation code Factor Response X1 X2 X3 Y1 Y2 Y3 A: Lipid concentration (%) B: Surfactant concentration (%) C:Homogenization speed (rpm) Particle size (nm) PDI Entrapment efficiency (%) F1 2.5 2.5 12500 365.4 0.523 43 F2 3.75 5 15000 450 0.621 72 F3 5 2.5 12500 550 0.576 72.5 F4 2.5 3.75 15000 421 0.621 42.4 F5 3.75 2.5 10000 487.1 0.157 69.6 F6 3.75 5 10000 630 0.372 73 F7 5 3.75 10000 599.8 0.04 75.4 F8 2.5 3.75 10000 502.5 0.294 51 F9 5 5 12500 430 0.377 78.24 F10 3.75 2.5 15000 470 0.421 70 F11 5 3.75 15000 445 0.321 76.4 F12 2.5 5 12500 332 0.271 49 *F13 3.75 3.75 12500 783 0.345 66 *F14 3.75 3.75 12500 785 0.287 66.72 *F15 3.75 3.75 12500 786.5 0.382 65.5 *F16 3.75 3.75 12500 787.3 0.342 65.2 *F17 3.75 3.75 12500 784.3 0.311 65 *The Center Point: consisting of the same parts Table 2 Quadratic model's ANOVA findings for all answers Response Source Sum of square DF Mean F Value P Value Results Y1 (PS) Model 4.149E + 05 9 4.6096.91 24.82 0.0002 Significant A 2 1.545E + 05 1 1.545E + 05 83.18 < 0.0001 Significant B 2 1.280E + 05 1 1.280E + 05 68.91 < 0.0001 Significant C 2 43471.97 1 4347.97 23.41 0.0019 Significant Y2 (PDI) Model 0.1767 3 0.089 3.79 0.0373 Significant A 2 1.437.52 1 1.437.52 4.62 0.0214 Significant B 2 0.542.9 1 0.542.9 6.73 0.032 Significant C 2 0.1571 1 0.1571 10.12 0.0072 Significant Y3 (EE) Model 2065.80 9 229.53 122.90 < 0.0001 Significant A 2 232.10 1 232.10 124.8 < 0.0001 Significant B 2 24.77 1 24.77 13.26 0.0083 Significant C 2 38.92 1 38.92 20.84 0.0026 Significant Table 3 Each model's regression coefficient that was used and recommended by design expert software Model R 2 Adjusted R 2 Predicted R 2 Standard Deviation %CV Comment Particle Size (Y1) Linear 0.9412 0.9321 0.9114 9.97 - - 2F1 0.9245 0.8953 0.8765 9.56 - - Quadratic 0.9696 0.9306 0.7942 0.46 7.62 Suggested PDI (Y2) Linear 0.7741 0.7653 0.7213 5.43 - - 2F1 0.7953 0.7863 0.7754 5.96 - - Quadratic 0.9946 0.8418 0.6443 0.12 33.84 Suggested Entrapment Efficiency (Y3) Linear 0.7831 0.7712 0.5783 3.56 - - 2F1 0.8653 0.7624 0.6542 2.74 - - Quadratic 0.9937 0.9856 0.9126 1.37 2.11 Suggested Independent factors' influence on particle size The study examined the impact of three distinct parameters, namely A, B, and C regarding the particle size of NLC dispersions loaded with RES. The chosen model, Response Y1, has a 24.82 F-value, which demonstrates the model's importance, according to the ANOVA's table result. Regression equation representing the coded value for the chosen variable (particle size) is shown. Particle size (Y1) = 760.38 + 157.72A + 84.30 B − 42.37C − 31.18AB-21.99AC − 48.87BC -275.81 A 2 − 251.04 B 2 − 101.61 C 2 A-Lipid concentration (%), B- Surfactant concentration (%), C- Homogenization speed (rpm). The rising and decreasing effects on the response value in relation to the input parameters are shown by the positive (+) and negative (-) symbols. A sufficient signal was indicated by an adequate precision of 13.13. It seems like the model suited the applied data well, as evidenced by the non-significant lack of fit (F = 1.54, P = 0.52, p > 0.05) [ 37 ]. All 17 RES-loaded NLC dispersions had particle sizes ranging from 332 nm to 787.3 nm. Increased Lipid content was shown to increase the size of NLC particles because it raises the solution’s viscosity, reduces the surfactant's capacity to emulsify, and increases the interfacial tension, which causes particle agglomeration. It was shown that an increase in the concentration of surfactant was associated with a reduction in the size of the particles. The reason for this might be that surfactants are adsorbed on the interface, lowering the surface tension that separates the lipid and aqueous phases. These outcomes align with earlier research that has been published [ 38 , 39 ]. The NLCs dispersion's particle size rises when the homogenization speed is increased because the particles agglomerate. Independent factors' influence on PdI The study examined the impact of three distinct parameters, namely A, B, and C, on the PdI of NLC dispersions loaded with RES. The chosen model, Response Y2, has a 3.79 F-value, which demonstrates the model's importance, according to the ANOVA's table result. Regression equation representing the coded value for the chosen variable (PdI) is shown. PdI (Y2) = 0.3791–0.0593A − 0.0054B + 0.401C + 0.320AB − 0.235AC + 0.642BC -0.0072A 2 + 0.572B 2 + 0.072C 2 A sufficient signal was indicated by an adequate precision of 6.26. It seems like the model suited the provided data well, as evidenced by the non-significant lack of fit (F = 0.74, P = 0.4). According to the study's findings, all 17 formulations' PdIs fell between 0.04 and 0.621. Increasing lipid concentration resulted in a decrease in PdI, indicating a narrower size distribution. Higher lipid content promotes tighter packing around the core, favouring uniform particle formation. Increasing surfactant concentration decreased PdI up to a critical point, beyond which excessive micelle formation could lead to re-coalescence and increased PdI. This finding aligned with prior published studies [ 40 ]. Independent factors' influence on Entrapment efficiency The study examined the impact of three distinct parameters, namely A, B, and C, regarding the Entrapment Efficiency (EE%) of NLC dispersions loaded with RES. The chosen model, Response Y3, has a 122.90 F-value, which demonstrates the model's importance, according to the ANOVA's table result.Regression equation representing the coded value for the chosen variable (Entrapment Efficiency) is shown. Entrapment efficiency (Y3) = 62.12 + 21.15A + 1.42B − 1.4C 0.0936AB + 2.88AC- 0.4200BC -10.69 A 2 + 3.49B 2 + 3.04 C 2 A sufficient signal was indicated by an adequate precision of 32.6. It seems like the model suited the applied data well, as evidenced by the non-significant lack of fit (F = 0.92, P = 0.8). It was discovered that when lipid content got higher, the EE rose owing to the extra space available for lodging and the reduced escape of medicines to the exterior phase. Surfactant presence increased the viscosity of the aqueous phase, leading to lower medication dispersion in the external phase [ 41 ]. The homogenization speed increased, and EE rose as particle size decrease. Point Prediction The optimum formulation was chosen from Desirability Value 1 (Run 1) by Design Expert program. The variables lipid concentration (5%), surfactant concentration (2%), and homogenization speed (10000 rpm) were determined to be within our desired range and chosen as an optimum formulation. The improved formulation was developed and determined to be 274.3 nm in particle size, 0.246 PdI, and 75.42% entrapment efficiency, with a Zeta potential of -34.5 mV, respectively. The RES-loaded NLCs optimal formulation has a 95% confidence interval with a projected value for response (Y1, Y2, Y3) and a p-value of < 0.05. The refined formulation was employed for upcoming investigation. Measurement of Particle size, PdI, Zeta Potential (ZP), and Entrapment Efficiency regarding the optimized RES-NLC dispersions The PS ranged from 332 to 787.3 nm for all formulations, as measured by the Malvern Zeta sizer (Table 1).With a PdI value of 0.246, the PS of the improved RES-NLC formulation was determined to be 274.3 nm (Fig. 3). Homogeneity is indicated by PdI values that are closer to 0, whereas heterogeneity particles are indicated by values that are closer to 1 [ 42 ]. As shown in Fig. 3, the improved composition exhibits a high negative zeta potential value of -34.5 mV, indicating its stability and lack of agglomeration [ 43 ]. The improved formula's entrapment efficiency was 75.42%, which matched the software's expected value. ScanningElectron Microscopy (SEM) morphologic analysis The SEM image of RES loaded NLC (Fig. 3)and RES incorporated Alginate beads (Fig. 3) depicts a smooth surfaced and spherically shaped particle. Differential Scanning Calorimetry (DSC) Pure resveratrol's DSC thermos image revealed a distinct endothermic peak at 172.4°C. The physical mixture's thermogram revealed maxima at 53°C and 73.7°C respectively, for Poloxamer 188 and Compritol 888 ATO. Thermogram of NLC loaded with resveratrol revealed peaks at 71°C, corresponding to Compritol 888 ATO, without an endothermic resveratrol peak (Fig. 4). There was little to no contact between the NLCs' constituent parts, and this data shows that there was entrapped RES in the NLCs [ 44 ]. NLC loaded-Alginate Bead Formulation Formulation of NLC-Alginate Sol A gentle agitation was employed to create the NLC-alginate sol because shear might potentially cause disruptions while mixing the NLC dispersion with the alginate stock solution. The structure of NLC. Phase separation was not seen following the mixing process, suggesting that alginate and NLC dispersion were well suited to each other. Alginate couldn't harm NLC's oil-water interface as it was a hydrophilic hydrocolloid with little surface activity. Formulation of NLC-Alginate beads Catalysed by calcium ions, NLC-alginate beads are created by the extrusion-dropping technique. First, it was looked into how calcium ions affected the physical stability of NLC[ 45 ]. The NLC's average size of particles and PdI were 274 ± 2 nm and 0.246 ± 0.025, correspondingly, following an hour of incubation in the crosslinked fluid. The crosslinked fluid did not significantly affect NLC stability while the process of crosslinking is underway, as seen by the distribution of particle sizes being close to the initial NLC dispersion [ 21 ]. The typical radius of the NLC-alginate beads that were created was around one millimetre. With a yield efficiency of 95.6% for RES after the crosslinking process, there may have been some leakage. Analysis of NLC-Alginate beads Particle size The produced NLC-alginate beads had an average radius of around 1 mm. After drying the particle size was reduced around 100 to 500 micrometres. Surface Morphology Spherical beads exhibited a rough surface that was scattered with different fractures, wrinkles, and pores was found according to the SEM image (Fig. 3). These traits most likely have anything to do with the beads' dehydration process[ 46 ]. Examining NLC-Alginate beads with FT-IR Analysis The infrared spectra of NLC displayed Peaks at 2900.00 cm − 1 (the C-H stretching), 3311.89 cm − 1 (O-H stretching),1383.00 cm − 1 (CH2 stretching). All of the unique peaks of NLC were conserved in the NLC-alginate beads infrared spectra indicating that NLC and alginate did not interact with one another intermolecularly (Fig. 5). This outcome provided additional evidence that NLC and alginate were only physically mixed together without any intermolecular interaction. Investigation of In vitro drug release * The simultaneous discharge of resveratrol from NLC beads, Optimized NLC and NLC-Sol plotted against time over the course of a day, the drug release from the NLCs was examined in enzyme-free SGF and SIF (Fig. 6). The NLC dispersion showed a profile of two-stage release profile, with a comparatively quick release of approximately 19.7% RES within the first two hours and a gradual release of approximately 98% RES until the study’s end. These findings suggest that, significant number of resveratrol was securely bonded to the lipid framework and enclosed inside the solid NLC core [ 47 ]. Given that there was a very small distance between NLC and the medium, the first quick release may have been caused by the RES that was abundant in the surface of NLC formulation. NLC-Sol exhibited a two-phase release profile, akin to that of NLC dispersion, along with a comparable rate of release during the first stage and a limited simultaneous drug release during the protracted phase of release. This suggests that the release may be influenced by the interaction between polymers and NLC. Polymers around NLC have been observed to cause a delayed release [ 48 ]. Resveratrol released from NLC-alginate beads did not release as quickly as it did from NLC dispersion and NLC-alginate sol without burst release. Drug release kinetics Using the DD solver the kinetic model for the drug release pattern was chosen based on which model had the greatest correlation value (R 2 ). The optimum NLC formulation, NLC Alginate sol, and NLC Alginate beads exhibit first-order release kinetics and zero-order release kinetics, respectively. The Weibull model provides the greatest match for all three formulations, it was shown in Table 4 [ 49 ]. Table 4 Release kinetics data Release kinetics mode Optimized NLC Formulation R 2 NLC-Sol R 2 NLC Alginate beads R 2 Zero-order Release 0.8555 0.8983 0.9717 First-order Release 0.9401 0.9168 0.8622 Higuchi model 0.8863 0.8368 0.6857 Korsmeyer-Peppas model 0.9500 n = 0.708 0.9394 n = 0.790 0.9942 n = 1.226 Weibull Model 0.9901 0.9845 0.9810 Hixson Crowell’s kinetics 0.9011 0.9462 0.8983 In vitro Lipid Digestion Study The average particles size ofamong samples varies at each digestion stage. The particle size in optimized NLC and NLC alginate sol remained almost unaltered after passing. Gastric digestion simulations did not destabilize or aggregate NLC in dispersion and Sol of NLC-alginate. The NLC particle present in NLC-alginate beads shrank considerably after passing through the stomach. The inclusion of NLC in Alginate beads did not degrade its structure, and simulated gastric digestion did not cause any issues [ 50 ]. The alginate beads remained same in Simulated Gastric Fluid (SGF) as the production of non-soluble alginic acid in the low-level pH solution removed calcium ions from the alginate. NLC aggregated after two hours of intestinal digestion, as evidenced by a rise in the mean size of NLC formulation over 780 nm (Fig. 6). The increase of the surface area of exposed lipid, which was derived from the displacement of emulsifiers in the surface of NLC by bile salts in SIF and the lipolysis by pancreatic lipases, could cause the aggregation [ 51 ]. The NLC-alginate sol exhibited a stable pattern of size distribution despite an increase in particle size to 450 nm. Following 30 minutes of intestine processing, the particle size of NLC-alginate beads in SIF reached approximately 280 nm, and after two hours, it climbed to 320 nm. In a neutral pH SIF, alginate beads made from were unstable, resulting in swelling-dissolution-erosion and release of contained chemicals [ 52 ]. The extent of swelling varied according on the period of intestinal residence. Visual inspection revealed swelling of NLC-alginate beads, which changed in size during intestinal digestion. This suggests that the incorporated NLC diffused into SIF and was hydrolysed by lipases outside the beads. Stability study The study on stability for the RES-NLCs-opt, NLC-Sol and the NLC-Alginate bead formulations. For the time period of 90 days. For Optimized RES-NLC, the particle size was raised beyond 400 nm. Large particle size peaks typically suggest nanoparticle agglomeration. The reformation and polymorphism of the lipid matrix in NLC dispersion can increase the exposed lipid surface area, which improves nanoparticle interaction [ 53 ]. The particle size in NLC-alginate sol was raised to around 370 nm. The addition of NLC-to-NLC alginate beads resulted in particle size around 303 nm. Thus, the inclusion of NLC in alginate beads might significantly expand the physical durability, it was shown in Fig. 6. Conclusion In order to strengthen the gastrointestinal function and physical steadiness of NLCs, the present work integrated resveratrol-loaded NLC into the beads using an extrusion dropping approach. The integration of NLC into alginate beads did not significantly affect the attributes of NLC, such as particle size, morphology and structure, according to DLS, SEM, and FTIR examination. Studies on stability have shown that by preventing aggregation, NLC added to alginate beads may considerably increase physical stability. In a release study, NLC-alginate beads worked better to control the expulsion of resveratrol than RES-NLC and RES NLC-Sol. Dispersion and NLC-Sol behaved differently in the gastrointestinal system than integrated NLC. The polymeric matrix hindered the small-sized NLC's ability to diffuse into SGF. Following intestinal digestion, NLC gradually diffused from the beads and NLC aggregation in SIF was prevented, all the while the lipid matrix was gradually destroyed. It was discovered that alginate worked well for adding NLC, enhancing physical stability, changing gastrointestinal motility, and managing release during digestion. Declarations Acknowledgement The authors would like to thank PSG College of Pharmacy, Coimbatore, Tamil Nadu, India for providing the necessary support. Author’s Contributions Sangeethkumar Manikandan: Writing- Original draft, Review and Editing, Giridharan Annamalai: Writing- Review and Editing, Mohankumar Dhasaiyan: Writing- Review and Editing, Preethy Ani Jose: Review and Editing, Arjunan Karuppaiah: Supervision, Writing- Review and Editing, Habibur Rahman: Conceptualization, Supervision, Writing- Review and Editing. Funding The authors declare that this research work received no funding from any external sources. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4181006","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":286253765,"identity":"258bbcca-3d42-492c-8c57-63d67edc92e0","order_by":0,"name":"Sangeethkumar Manikandan","email":"","orcid":"","institution":"PSG College of Pharmacy","correspondingAuthor":false,"prefix":"","firstName":"Sangeethkumar","middleName":"","lastName":"Manikandan","suffix":""},{"id":286253766,"identity":"2710beff-52b0-46f6-b796-1520852b788e","order_by":1,"name":"Preethy Ani Jose","email":"","orcid":"","institution":"MNR College of Pharmacy, MNR Nagar","correspondingAuthor":false,"prefix":"","firstName":"Preethy","middleName":"Ani","lastName":"Jose","suffix":""},{"id":286253769,"identity":"8b6ec021-d349-43de-9efb-1b3749d02594","order_by":2,"name":"Arjunan Karuppaiah","email":"","orcid":"","institution":"PSG College of Pharmacy","correspondingAuthor":false,"prefix":"","firstName":"Arjunan","middleName":"","lastName":"Karuppaiah","suffix":""},{"id":286253774,"identity":"9c38c62d-6712-468f-8675-268f878eed5f","order_by":3,"name":"Habibur Rahman","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAx0lEQVRIiWNgGAWjYBACAwYexgMMDBJyIM6BB0RqYTjAkGBhDNaSQIKWisQGEI8oLebsZw8c+PhDIn1+2OGHQFvs5HQbCGix7MlLODgjQSJ34+00A6CWZGOzA4QcdiDH4DAPSMvsBJCWA4nbCGo5/8bg8J8EiXTD2ekfiNRyA2gLQ4JEgrx0DrG23HiXcLAnTcJwg3ROwYEEA2L8cj734IMfNnXy8rPTN3/4UGEnR1ALQi9YpQGxykFAvoEU1aNgFIyCUTCiAAChHEtG6xWtFQAAAABJRU5ErkJggg==","orcid":"","institution":"PSG College of Pharmacy","correspondingAuthor":true,"prefix":"","firstName":"Habibur","middleName":"","lastName":"Rahman","suffix":""}],"badges":[],"createdAt":"2024-03-28 09:12:32","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4181006/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4181006/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s00210-024-03223-3","type":"published","date":"2024-06-15T14:55:32+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":54004475,"identity":"95cf983b-8d0f-438a-99ca-bce1b22a888b","added_by":"auto","created_at":"2024-04-03 09:07:18","extension":"jpeg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":53019,"visible":true,"origin":"","legend":"\u003cp\u003eSolubility of RES in Liquid lipid(a), Solid lipid(b) and (c) % Transmittance of Surfactants\u003c/p\u003e","description":"","filename":"floatimage4.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-4181006/v1/447a17def26a78c70651621e.jpeg"},{"id":54004456,"identity":"671c97bc-411f-4630-a93a-59e55faee7ac","added_by":"auto","created_at":"2024-04-03 09:07:05","extension":"jpeg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":208768,"visible":true,"origin":"","legend":"\u003cp\u003eThree-dimensional response surface for interaction effect.Particle size - (a) Lipid concentration and Surfactant concentration, (b) Lipid concentration and Homogenization speed, (c) Lipid concentration and Homogenization speed. PDI - (d) Lipid concentration and Surfactant concentration, (e) Lipid concentration and Homogenization speed, (f) Lipid concentration and Homogenization speed. Entrapment Efficiency - (g) Lipid concentration and Surfactant concentration, (h) Lipid concentration and Homogenization speed, (i) Lipid concentration and Homogenization speed.\u003c/p\u003e","description":"","filename":"floatimage5.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-4181006/v1/f442c9886780ed04dfa92bed.jpeg"},{"id":54004453,"identity":"523c0d5d-cc87-419b-ad2b-ce6e40344104","added_by":"auto","created_at":"2024-04-03 09:07:05","extension":"jpeg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":65887,"visible":true,"origin":"","legend":"\u003cp\u003eParticle size distribution of Optimized RES-NLC (a), Zeta potential of Optimized RES-NLC (b), SEM image of RES loaded NLC (c), SEM image of RES incorporated Alginate beads (d).\u003c/p\u003e","description":"","filename":"floatimage6.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-4181006/v1/f521bfe3c71340d315a77735.jpeg"},{"id":54005145,"identity":"343018e6-8199-4cae-a414-90a36ee2680f","added_by":"auto","created_at":"2024-04-03 09:15:05","extension":"jpeg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":35904,"visible":true,"origin":"","legend":"\u003cp\u003eDifferential scanning calorimetry (DSC) thermograms of Physical mixture (a), Pure Resveratrol (b), RES-loaded NLC formulation (c).\u003c/p\u003e","description":"","filename":"floatimage7.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-4181006/v1/5cc3d1f3ccf3c39976e08356.jpeg"},{"id":54004454,"identity":"ca78a76e-8573-4643-ab77-49c5d8aa8478","added_by":"auto","created_at":"2024-04-03 09:07:05","extension":"jpeg","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":41574,"visible":true,"origin":"","legend":"\u003cp\u003eFT-IR study of opt-RES-NLC and NLC loaded Alginate beads.\u003c/p\u003e","description":"","filename":"floatimage8.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-4181006/v1/d7542c8484c1c8dd91852de6.jpeg"},{"id":54005146,"identity":"43d08a85-1cb2-4a46-ad6e-751e8669b4bf","added_by":"auto","created_at":"2024-04-03 09:15:05","extension":"jpeg","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":87592,"visible":true,"origin":"","legend":"\u003cp\u003eLipid digestion analysis by particle size (a), Lipid digestion analysis by Free Fatty Acid 3(FFA) release (b), In-vitro drug release study (c), Variation of particle size during 90 days storage (d).\u003c/p\u003e","description":"","filename":"floatimage9.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-4181006/v1/e983179716b319a41c920b26.jpeg"},{"id":58822320,"identity":"5d4538f9-ae8c-47c1-9b11-79d3a712ac71","added_by":"auto","created_at":"2024-06-21 16:40:50","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1633448,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4181006/v1/243769b1-cc4d-41e9-9ba2-3802d01a4c6d.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"The Effect of Physical Stability and Modified Gastrointestinal Tract Behaviour of Resveratrol-Loaded NLCs Encapsulated Alginate Beads","fulltext":[{"header":"Introduction","content":"\u003cp\u003eNanomaterials provide novel drug delivery methos with therapeutic promise and they have been more popular in the pharma field and medical research throughout the past decade. Lipid-based nanoparticles (LNPs) are one type of nanomaterial that has demonstrated impressive and potential therapeutic results [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. Solid lipid nanoparticles (SLN) are the earliest class of lipid nanoparticles [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Physical instability upon storage is the primary drawback of SLN. The solid lipids that make up SLN undergo crystallization. This has an impact on the system's entrapment efficiency [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. The late 1990s saw the development of Nano structured Lipid Carriers (NLC), the second-generation of nano lipid transporters, which were designed to address the shortcomings of SLN. NLCs comprised of awater-based system with a surfactant as well as a combination of liquid and solid lipids. As a result, the NLC structure becomes more defective, which enhances drug loading and integration efficiency [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. The lipids in these formulations are physiologically compatible, which is significant for reducing toxicity [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eNevertheless, the usage of NLC is restricted as a result of its very low stability, encompassing both storage and gastrointestinal stability. NLC is still undergoing polymeric transformation, which might cause it to aggregate by expanding its exposed surface area and creating platelet-shaped nanostructures [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. On the other hand, because NLC are made of lipids and are based on nano emulsions, they can readily aggregate as they transit through the gastro intestinal tract, which is detrimental to the bioavailability and regulated release of lipophilic drug [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. The primary approach has been used to enhance the performance of lipid nanoparticles is polymer-coated particles of lipids [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. These approaches include the use of several biodegradable polymers, such as polysaccharides and proteins. Polymers can be added to the mixture either before or after NLC develops using the coating process based on electrostatic interaction to form polymer-coated NLC [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. The NLC's size and structure may alter as a result of this coating method due to the intricate interaction between the NLC and coating layer.\u003c/p\u003e \u003cp\u003eThe NLC-loaded alginate beads had been created using alginate as the polymer, owing to its facile manufacturing process. Alginate is a polysaccharide that contains D-mannuronic and L-guluronic acid residues with extremely low toxicity and biocompatibility [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. It is soluble in neutral and alkaline environments due to its charged carboxyl units, which are present at pH levels larger than 3.4. This property encourages the widespread use of alginates [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. For certain medications that look for additional protection with favoured absorption in the gastrointestinal system or for other situations like customized drug release, alginate is a superior polymer. Alginate is therefore the best biomaterial for medication delivery systems [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe current study's objective was to create an NLC-Alginate beads in order to enhance NLC's stability in physical form and alter its behaviour inside the gastrointestinal system. Blueberries and grapes are good sources of a polyphenol called Resveratrol (RES); a lipophilic substance was utilized as a model drug. Research has indicated that it possesses cardioprotective, anti-inflammatory, antioxidant, and anti-cancer properties. The extrusion dropping technique was used to integrate the NLC loaded with resveratrol into alginate beads. Size and surface morphology was analysed using SEM (Scanning Electron Microscopy) and a technique called DLS (Dynamic Light Scattering) and, to assess how this addition affected the NLC properties by FTIR (Fourier Transform Infra-Red) analysis. Analysing yield efficiency and entrapment efficiency was part of the examination of leaks that happened throughout the incorporation process. The effectiveness of this incorporation was further assessed by an \u003cem\u003ein vitro\u003c/em\u003e release research, an \u003cem\u003ein vitro\u003c/em\u003e digestion study, and a physical stability investigation.\u003c/p\u003e"},{"header":"Materials and Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\n \u003ch2\u003eMaterial\u003c/h2\u003e\n \u003cp\u003eResveratrol procured from Sami sabinsha group limited (Bangalore, India). Capmul MCM, Captex 100 were procured from ABITEC Corporation. Stearic acid, Ethyl Oleate, GMS (Glyceryl mono stearate, Cetyl Palmitate, Span 80, Tween 80, Poloxamer 188, Calcium chloride were acquired fromLoba chemie Pvt.Ltd (Mumbai, India). Labrafac PG, Compritol 888 ATO (Glyceryl dibehenate), Precirol ATO were purchased Gattefoss\u0026eacute; Pharmaceuticals (France).Glyceryl Mono Oleate, Palmitic acid were obtained from Mohini Organics (Mumbai, India). Sigma Aldrich provided water and methanol of HPLC quality (St Louis, Missouri, USA). Dialysis bag (2.4 nm pore size, MW cut off 12000\u0026ndash;14000 DA). The experiment involved the use of just analytical-grade chemicals for all other components.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\n \u003ch2\u003eMethod\u003c/h2\u003e\n \u003cdiv id=\"Sec5\" class=\"Section3\"\u003e\n \u003ch2\u003eSelecting suitable lipids\u003c/h2\u003e\n \u003cp\u003eThe maximum solubility of RES in each kind of lipid was taken into consideration while choosing liquid and solid lipids. 2mL of Eppendorf tubes were taken and filled with 1mLof liquid lipid (Ethyl Oleate, Capmul MCM, Maisine CC, Captex 100, Oleic Acid, GMO, Labrafac PG), and each tube received an excess of RES. After that, the tubes were housed within a chamber with shakers for 48 hrs at 100 rpm and 37\u0026deg;C. In a similar manner, 1 gram of solid lipid that has melted (5\u0026deg;C over the melting point), Compritol 888 ATO (Glyceryl dibehenate), GMS (Glycerol monostearate), Cetyl palmitate, Stearic Acid, Precirol ATO 5 (Glyceryl Palmitostearate), Palmitic Acid, Cetyl Alcohol, Geleol was continuously stirred with a magnetic stirrer while the surplus RES was added. The mixture\u0026apos;s saturation solubility of RES was detected when its transparency began to loosen. The mixture was spun in a Remi centrifuge set at 5000 rpm for 15 minutes. After the appropriate dilution procedure, the concentration of RES in the supernatant was measured at 306 nm using a UV-visible Spectrophotometer [\u003cspan class=\"CitationRef\"\u003e14\u003c/span\u003e].\u003c/p\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e\n \u003ch2\u003eThe physical harmony between liquid and solid lipid\u003c/h2\u003e\n \u003cp\u003eBoth lipids, liquid as well as solid were mixed and melted in many glass tubes at a constant 1:1 ratio. The two-phase lipid combination was given time to reach room temperature while it was still molten. Next, the glass tubes were visually inspected to ensure that there were no distinct layers in the stagnated lipid mixture. To assess the miscibility in both (liquid and solid) lipids, a sample of the stagnated lipid mixture that had cooled down was also spread onto filter paper. Any oil residue on the filter paper was then visually seen to be removed. A binary combination with a melting point over 70\u0026deg;C that did not leave any oil droplet residue on the filter paper was chosen for the production of RES-loaded NLCs [\u003cspan class=\"CitationRef\"\u003e15\u003c/span\u003e].\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\n \u003ch2\u003eBinary Lipid phase selection\u003c/h2\u003e\n \u003cp\u003eThe binary lipid mixture\u0026apos;s melting point was used to calculate the proportion of chosen solid to liquid lipids. Using a hot plate magnetic stirrer, it was demonstrated that the multimodal lipid mixtures could be melted and then swirled at 200 rpm for an hour at a temperature that was 5\u0026deg;C over the solid lipid\u0026apos;s melting point. A combination of both solid and liquid lipids was prepared in a proportion ranging between 90:10 and 10:90. It was then allowed to cool to ambient temperature and harden. The capillary method was used to determine the stagnated lipid mixtures\u0026apos; melting points [\u003cspan class=\"CitationRef\"\u003e16\u003c/span\u003e].\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\n \u003ch2\u003eChoosing the right surfactant\u003c/h2\u003e\n \u003cp\u003eThe surfactant\u0026apos;s capacity to emulsify solid-liquid binary lipid (SLB) was taken into account while deciding it for NLC development.100 mg of SLB added with 3ml of methylene chloride, to this 10 ml of 5% surfactant solution was added and this blend was then magnetically spun at 40\u0026deg;C for eliminating the organic phase. Then the final mixture was diluted using Milli-Q water. The percentage transmittance of the resultant samples was determined at 510 nm using a UV spectrophotometer [\u003cspan class=\"CitationRef\"\u003e17\u003c/span\u003e].\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec9\" class=\"Section2\"\u003e\n \u003ch2\u003eDevelopment of NLCs of RES\u003c/h2\u003e\n \u003cp\u003eUtilizing high-speed homogenization, RES loaded NLC dispersion was prepared. Melting the solid and liquid lipids above the temperature at which they melt (75\u0026deg;C). The lipid phase holds the resveratrol. Drop by drop, the aqueous phase having the surfactants was included to the lipid phase. After that, it was agitated for thirty minutes using a magnetic stirrer. After forming a pre-emulsion, it was homogenized at high speed (3 cycles of 5 minutes each) for 15 minutes at different rpm in order to generate stable NLCs [\u003cspan class=\"CitationRef\"\u003e18\u003c/span\u003e].\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec10\" class=\"Section2\"\u003e\n \u003ch2\u003eStatistical experimental design for optimization\u003c/h2\u003e\n \u003cp\u003eFor the optimization of RES-NLCs, three independent factors with three levels (high, intermediate and low) of Box-Behnken statistical design was used, because they provided an adequate number of experimental runs. The dependent variables that were chosen are particle size (PS, nm, Y1), Poly dispersity Index (PdI, Y2), and Entrapment Efficiency (EE, %, Y3). The program produced 17 testing runs with five repeated experiments. Every experiment run was completed, and the data for the dependent variable fits into the program. To find the best-fit model, all answers (Y1, Y2, Y3) were fitted into several models, including linear, second-order, cubic, and quadratic. Statistical regression analysis and analysis of variance (ANOVA) were carried out for each model. Using Three-dimensional graphs (3D), the interaction influence of the factors over the individual solutions was ascertained [\u003cspan class=\"CitationRef\"\u003e19\u003c/span\u003e].\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\n \u003ch2\u003eDeveloping NLC-Alginate Sol\u003c/h2\u003e\n \u003cp\u003eTo thoroughly hydrate the sodium alginate, distilled water was mixed with\u003c/p\u003e\n \u003cp\u003ea specific quantity of 1.5% (w/v) Sodium alginate and stirred for a whole day. After that, the mixture was left in place for at least sixty minutes to eliminate air bubbles and form the stock solution of alginate. The freshly made RES-loaded NLC was introduced towards the solution contains alginate in a 1:1 (v/v) ratio to create the NLC-alginate sol. To stop the creation of air bubbles, the liquid was then thoroughly stirred for five minutes at ambient temperature using the magnetic stirrer.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\n \u003ch2\u003eProduction of the NLC-alginate beads\u003c/h2\u003e\n \u003cp\u003eThree methods were used to create NLC-alginate beads: dripping, ionic gelation, and extrusion, with minor modifications to the described protocol [\u003cspan class=\"CitationRef\"\u003e20\u003c/span\u003e]. In short, a hypodermic needle with syringe (3 mL) was used to dropping NLC-alginate sol, gradually into a CaCl\u003csub\u003e2\u003c/sub\u003e hardening solution (5% w/v in 20ml). A distance of 5 cm was maintained during the whole process between the needle and the hardening solution. After protrusion, the resultant NLC-alginate beads were carefully combined with calcium chloride solution and allowed to harden for 60 minutes at room temperature. Eventually, a pipette was used to gently collect all of the calcium chloride hardening solution [\u003cspan class=\"CitationRef\"\u003e21\u003c/span\u003e].\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e\n \u003ch2\u003eCharacterization\u003c/h2\u003e\n \u003cdiv id=\"Sec14\" class=\"Section3\"\u003e\n \u003ch2\u003eParticle size, Poly Dispersity Index and Zetapotential Analysis\u003c/h2\u003e\n \u003cp\u003eThe mean Particle size, Polydispersity index (PdI) and Zetapotential (ZP) were estimated using the Dynamic Light Scattering (DLS) method with a Malvern zetasizer (ZS 90, Malvern Instruments, UK). The diluted sample was put into a cuvette and tested against water as a solvent at a temperature of 25\u0026deg;C and a 90 \u0026deg; dispersion angle[\u003cspan class=\"CitationRef\"\u003e22\u003c/span\u003e]. Alginate beads were denatured using cation chelators, which is 55 mM sodium citrate and filtered to exclude the NLC before the size of the NLC included in them was measured [\u003cspan class=\"CitationRef\"\u003e21\u003c/span\u003e].\u003c/p\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec15\" class=\"Section2\"\u003e\n \u003ch2\u003eMorphological Examination\u003c/h2\u003e\n \u003cp\u003eRES-incorporated NLC Alginate beads and optimized RES-NLCs (RES-NLCs-opt) formulation were examined using an EVO 18 model scanning electron microscope to determine their form and surface morphology [\u003cspan class=\"CitationRef\"\u003e23\u003c/span\u003e]. Before the SEM observation, NLC integrated in beads was recycled by NLC-alginate beads in a solution containing cation molecules (55 mM sodium citrate) [\u003cspan class=\"CitationRef\"\u003e21\u003c/span\u003e].\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec16\" class=\"Section2\"\u003e\n \u003ch2\u003eFTIR study\u003c/h2\u003e\n \u003cp\u003eResearch was conducted utilizing an FTIR spectrometer (FT-IR 8400 Shimadzu 240V, Japan) to conduct Fourier transform infrared spectroscopy. All specimens were lyophilized prior to testing. At a resolution of 1/cm, the NLC-alginate beads\u0026apos; spectra were captured throughout a scanning range of 500\u0026ndash;4000/cm [\u003cspan class=\"CitationRef\"\u003e24\u003c/span\u003e].\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec17\" class=\"Section2\"\u003e\n \u003ch2\u003eDifferential Scanning Calorimetry (DSC)\u003c/h2\u003e\n \u003cp\u003eDifferential scanning calorimetry (Mettler \u0026ndash; DSC 3) was used to estimate the thermogram for the lyophilized NLC and physical combination (Resveratrol, compritol 888 ATO and Poloxamer 188). Seven milligrams of every sample were weighed within a pan made of aluminium, and they were scanned under a nitrogen environment with 30℃ to 300℃ temperature range at an uninterrupted rate of 10\u0026deg;C/min. An empty closed aluminium pan was employed as a source [\u003cspan class=\"CitationRef\"\u003e25\u003c/span\u003e].\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec18\" class=\"Section2\"\u003e\n \u003ch2\u003eEntrapment Efficiency and Yield Efficiency\u003c/h2\u003e\n \u003cp\u003eUsing the ultrafiltration technique, the entrapment effectiveness of NLC-alginate sol and RES-NLCs-opt was evaluated [\u003cspan class=\"CitationRef\"\u003e26\u003c/span\u003e]. At 10,000 rpm, 400 \u0026micro;l of the sample was centrifuged for 30 minutes and then put into ultrafiltration centrifugal filter assembly tubes, which had a 10 kDa molecular density threshold (Millipore Inc., USA). It was established how much resveratrol was present in both the ultrafiltrate (free resveratrol) and the NLC sample, use a spectrophotometer set to 306 nm in wavelength [\u003cspan class=\"CitationRef\"\u003e27\u003c/span\u003e].\u003c/p\u003e\n \u003cp\u003eThe preceding equation was applied in order to ascertain the entrapment efficiency:\u003c/p\u003e\n \u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n \u003cp\u003eA spectrophotometer was used to measure the total quantity of Resveratrol that was extracted using ethanol from the mixture of the washing water and the acquired calcium chloride thickening solution. Following the crosslinking process, the Efficiency of yield (YE), This was determined using the following equation and identified as the % of RES integrated in NLC-alginate beads.\u003c/p\u003e\n \u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eInvestigation on\u003c/strong\u003e \u003cstrong\u003eIn vitro\u003c/strong\u003e \u003cstrong\u003erelease\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eApplying the dialysis bag, the release of \u003cem\u003ein vitro\u003c/em\u003e resveratrol from optimized NLC (RES-NLCs-opt), sol of NLC-alginate, and NLC-alginate beads has been investigated. Before the release trial, the NLC (RES-NLCs-opt), sol of NLC-alginate and NLC-alginate beads was diluted with an equivalent volume of distilled water. Then they were added to the dialysis bag and floating in 200 mL of receptor medium (pH 1.2 and 6.8) with movement at 200 rpm under controlled conditions of 37\u0026deg;C for 24 hours [\u003cspan class=\"CitationRef\"\u003e28\u003c/span\u003e].\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec19\" class=\"Section2\"\u003e\n \u003ch2\u003eStudy of kinetic release\u003c/h2\u003e\n \u003cp\u003eThe kinetic release types Zero and First order, Weibull model, Hixson Crowell\u0026apos;s, Higuchi kinetic and Korsmeyer-Peppas were matched to the \u003cem\u003ein vitro\u003c/em\u003e release description of RES-NLCs-opt. The most appropriate kinetic release type was chosen by the regression coefficient parameter.\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eInvestigation of\u003c/strong\u003e \u003cstrong\u003eIn vitro\u003c/strong\u003e \u003cstrong\u003edigestion\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eThis assessment examined the behaviour of RES-NLCs-opt, Sol of NLC-alginate dispersion, and NLC loaded alginate beads in the digestive system relying an intuitive two-step \u003cem\u003ein vitro\u003c/em\u003e digestion simulation which involved the intestinal and stomach phases. The model underwent minor modifications from prior research and an international consensus process [\u003cspan class=\"CitationRef\"\u003e29\u003c/span\u003e]. To acquire the same concentration of nanoparticles in the NLC optimized formulation as in the NLC-alginate sol, the recently generated NLC formulation was mixed with an equivalent quantity of distilled water before the digestion examination.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec20\" class=\"Section2\"\u003e\n \u003ch2\u003eGastric mode\u003c/h2\u003e\n \u003cp\u003eA specified quantity of NLC-alginate beads (3 mL preceding to the cross-linkage procedure, that including 1.5 mL initial NLC formulation), the diluted optimized NLC (3 mL, comprising 1.5 mL initial NLC formulation), and the NLC-alginate sol (3 mL, that include 1.5 mL initial NLC formulation) were each combined with 10 mL of Gastrointestinal fluid model (1.2 pH) having 3.2 g/L of pepsin also 2g/L of Sodium chloride (NaCl). After that, the blend was allowed to stand for two hours at 100 rpm in a water bath with continuous stirring in order to replicate the motility of the gastric tract [\u003cspan class=\"CitationRef\"\u003e30\u003c/span\u003e]. Subsequently the simulated stomach digestion was finished, the size distribution of NLC in the digest was assessed using the DLS method.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec21\" class=\"Section2\"\u003e\n \u003ch2\u003eIntestinal mode\u003c/h2\u003e\n \u003cp\u003eAn equivalent volume of simulated intestinal fluid (SIF) containing quantity of the 0.6 mM-of calcium chloride with pancreatic lipase (4 g/L) in PBS (pH 6.8) was combined with 13 ml of the stated above digestion sample from the stomach phase. Subsequently, the pH was promptly corrected to 6.8 using 1 M NaOH, then for two hours at 37\u0026deg;C, the blend was constantly mixed at 100 rpm by introducing the pH-stat titration technique [\u003cspan class=\"CitationRef\"\u003e31\u003c/span\u003e] through lipolysis, the amount of free fatty acids (FFA) was liberated from the lipid matrix of NLC to investigate its digestion process in mimicked intestinal fluid. Using NaOH (0.1 M), the mixed solution\u0026apos;s pH was kept at 7.4. The amount of FFA produced by the lipid matrix\u0026apos;s lipolysis was calculated using the following method, which was based on the quantity of NaOH used at various intervals [\u003cspan class=\"CitationRef\"\u003e32\u003c/span\u003e].\u003c/p\u003e\n \u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n \u003cp\u003eV NaOH\u0026thinsp;=\u0026thinsp;Volume of NaOH needed to neutralize the FFA.\u003c/p\u003e\n \u003cp\u003eW lipid\u0026thinsp;=\u0026thinsp;Total oil mass comprised of triacylglycerol originally present in the digestion media (g).\u003c/p\u003e\n \u003cp\u003eMNaOH\u0026thinsp;=\u0026thinsp;Molarityof NaOH\u003c/p\u003e\n \u003cp\u003eM lipid\u0026thinsp;=\u0026thinsp;Triacylglycerol oil\u0026apos;s molecular mass (g/mol).\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec22\" class=\"Section2\"\u003e\n \u003ch2\u003eStability study\u003c/h2\u003e\n \u003cp\u003eFor 90 days, a stability study was conducted for RES-NLCs-opt, NLC-Alginate Sol, and NLC-Alginate beads at 25℃/60% RH in accordance with ICH guidelines. The sample was put into a stability chamber in a vial made of borosilicate glass. Particle size was measured on a sample that was taken out at certain intervals (0, 30, 60, and 90 days).\u003c/p\u003e\n\u003c/div\u003e"},{"header":"Results and Discussion","content":"\u003cdiv id=\"Sec24\" class=\"Section2\"\u003e \u003ch2\u003eAssigning suitable lipids\u003c/h2\u003e \u003cp\u003eThe different liquid lipids' RES solubility orders includeMaisine CC\u0026thinsp;\u0026gt;\u0026thinsp;Labrafac PG\u0026thinsp;\u0026gt;\u0026thinsp;Capmul MCM\u0026thinsp;\u0026gt;\u0026thinsp;GMO\u0026thinsp;\u0026gt;\u0026thinsp;Captex 100\u0026thinsp;\u0026gt;\u0026thinsp;Ethyl Oleate\u0026thinsp;\u0026gt;\u0026thinsp;Oleic Acid. In terms of solid lipids, Compritol888 ATO\u0026thinsp;\u0026gt;\u0026thinsp;GMS\u0026thinsp;\u0026gt;\u0026thinsp;Precirol ATO 5\u0026thinsp;\u0026gt;\u0026thinsp;Stearic acid,cetyl alcohol\u0026thinsp;\u0026gt;\u0026thinsp;Palmitic acid\u0026thinsp;\u0026gt;\u0026thinsp;Geleol\u0026thinsp;\u0026gt;\u0026thinsp;Cetyl Palmitate. Maisine CC (liquid lipid, 3.76 +/- 1.07 mg/ml) and Compritol 888 ATO (solid lipid, 24 +/- 1.5 mg/g) were determined to have the highest solubility of RES (Fig.\u0026nbsp;1).\u003c/p\u003e \u003cdiv id=\"Sec25\" class=\"Section3\"\u003e \u003ch2\u003eSelection of surfactant\u003c/h2\u003e \u003cp\u003eThe emulsification capability of the lipids was taken into consideration while choosing the kind of surfactant. The lipid surfactant solution's % transmission was used to calculate it. Various surfactants were employed in the screening procedure. Poloxamer 188 demonstrated the maximum transmittance in this instance, at almost 97%. Poloxamer 188 is a non-ionic surfactant that poses no physiological concern to human health [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. This particular surfactant has a high capacity for emulsification and is amphiphilic (HLB\u0026thinsp;=\u0026thinsp;29) [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. Transmittance of various surfactant expressed in Fig.\u0026nbsp;1.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec26\" class=\"Section3\"\u003e \u003ch2\u003eBinary Lipid phase selection\u003c/h2\u003e \u003cp\u003eSolid lipid -liquid lipid ratio 70:30 was best fit for melting point of solid lipid which is 60\u0026deg;C -70\u0026deg;C.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec27\" class=\"Section3\"\u003e \u003ch2\u003eOptimization\u003c/h2\u003e \u003cp\u003eDesign-Expert 13 software was used to optimize the optimized initial batch of prepared RES-NLCs (Box-Behnken design) [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e]. The all seventeen formulations with five centre points along with their corresponding results are listed in Table\u0026nbsp;1. All of the responded data were fitted into several models, including quadratic, second-order, and linear ones. Because the quadratic model had a greater regression coefficient than the other models, it was determined to be the best match for all answers. For each response (PS, PdI, and EE), an ANOVA of the best-fit model (quadratic) was computed and presented inTable 2. A model in quadratic form encompassing each response, yielded a P\u0026thinsp;\u0026lt;\u0026thinsp;0.0001 value, suggesting the significance of the model (Table\u0026nbsp;3). 3-D graph of how factors contributed more than individual solutions are represented in Fig.\u0026nbsp;2.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eFormulation composition of NLCs\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eFormulation code\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e \u003cp\u003eFactor\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"3\" nameend=\"c7\" namest=\"c5\"\u003e \u003cp\u003eResponse\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eX1\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003eX2\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003eX3\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003eY1\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u003cb\u003eY2\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003eY3\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eA: Lipid concentration (%)\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003eB: Surfactant concentration\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003e(%)\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003eC:Homogenization speed (rpm)\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003eParticle size (nm)\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u003cb\u003ePDI\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003eEntrapment efficiency\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003e(%)\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eF1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e12500\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e365.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.523\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e43\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eF2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e15000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e450\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.621\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e72\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eF3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e12500\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e550\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.576\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e72.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eF4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e15000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e421\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.621\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e42.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eF5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e10000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e487.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.157\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e69.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eF6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e10000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e630\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.372\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e73\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eF7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e10000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e599.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e75.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eF8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e10000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e502.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.294\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e51\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eF9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e12500\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e430\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.377\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e78.24\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eF10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e15000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e470\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.421\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e70\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eF11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e15000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e445\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.321\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e76.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eF12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e12500\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e332\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.271\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e49\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e*F13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e12500\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e783\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.345\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e66\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e*F14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e12500\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e785\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.287\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e66.72\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e*F15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e12500\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e786.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.382\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e65.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e*F16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e12500\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e787.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.342\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e65.2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e*F17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e12500\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e784.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.311\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e65\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003csup\u003e*The Center Point: consisting of the same parts\u003c/sup\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eQuadratic model's ANOVA findings for all answers\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"8\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eResponse\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSource\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSum of square\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eDF\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eMean\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eF Value\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eP Value\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eResults\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"3\" rowspan=\"4\"\u003e \u003cp\u003eY1 (PS)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eModel\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.149E\u0026thinsp;+\u0026thinsp;05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e4.6096.91\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e24.82\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.0002\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003eSignificant\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eA\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.545E\u0026thinsp;+\u0026thinsp;05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.545E\u0026thinsp;+\u0026thinsp;05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e83.18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003eSignificant\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eB\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.280E\u0026thinsp;+\u0026thinsp;05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.280E\u0026thinsp;+\u0026thinsp;05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e68.91\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003eSignificant\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eC\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e43471.97\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e4347.97\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e23.41\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.0019\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003eSignificant\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"3\" rowspan=\"4\"\u003e \u003cp\u003eY2 (PDI)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eModel\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.1767\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.089\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e3.79\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.0373\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003eSignificant\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eA\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.437.52\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.437.52\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e4.62\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.0214\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003eSignificant\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eB\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.542.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.542.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e6.73\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.032\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003eSignificant\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eC\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.1571\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.1571\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e10.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.0072\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003eSignificant\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"3\" rowspan=\"4\"\u003e \u003cp\u003eY3 (EE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eModel\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2065.80\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e229.53\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e122.90\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003eSignificant\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eA\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e232.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e232.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e124.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003eSignificant\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eB\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e24.77\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e24.77\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e13.26\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.0083\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003eSignificant\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eC\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e38.92\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e38.92\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e20.84\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.0026\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003eSignificant\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eEach model's regression coefficient that was used and recommended by design expert software\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eModel\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eR\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAdjusted R\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003ePredicted R\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eStandard Deviation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e%CV\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eComment\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"7\" nameend=\"c7\" namest=\"c1\"\u003e \u003cp\u003eParticle Size (Y1)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLinear\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9412\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.9321\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.9114\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e9.97\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2F1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9245\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.8953\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.8765\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e9.56\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eQuadratic\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9696\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.9306\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.7942\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.46\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e7.62\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eSuggested\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"7\" nameend=\"c7\" namest=\"c1\"\u003e \u003cp\u003ePDI (Y2)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLinear\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.7741\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.7653\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.7213\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e5.43\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2F1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.7953\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.7863\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.7754\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e5.96\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eQuadratic\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9946\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.8418\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.6443\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e33.84\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eSuggested\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"7\" nameend=\"c7\" namest=\"c1\"\u003e \u003cp\u003eEntrapment Efficiency (Y3)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLinear\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.7831\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.7712\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.5783\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e3.56\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2F1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.8653\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.7624\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.6542\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2.74\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eQuadratic\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9937\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.9856\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.9126\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.37\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eSuggested\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec28\" class=\"Section2\"\u003e \u003ch2\u003eIndependent factors' influence on particle size\u003c/h2\u003e \u003cp\u003eThe study examined the impact of three distinct parameters, namely A, B, and C regarding the particle size of NLC dispersions loaded with RES. The chosen model, Response Y1, has a 24.82 F-value, which demonstrates the model's importance, according to the ANOVA's table result.\u003c/p\u003e \u003cp\u003eRegression equation representing the coded value for the chosen variable (particle size) is shown.\u003c/p\u003e \u003cp\u003eParticle size (Y1)\u0026thinsp;=\u0026thinsp;760.38\u0026thinsp;+\u0026thinsp;157.72A\u0026thinsp;+\u0026thinsp;84.30 B \u0026minus;\u0026thinsp;42.37C \u0026minus;\u0026thinsp;31.18AB-21.99AC \u0026minus;\u0026thinsp;48.87BC -275.81 A\u003csup\u003e2\u003c/sup\u003e \u0026minus;\u0026thinsp;251.04 B\u003csup\u003e2\u003c/sup\u003e \u0026minus;\u0026thinsp;101.61 C\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eA-Lipid concentration (%), B- Surfactant concentration (%), C- Homogenization speed (rpm). The rising and decreasing effects on the response value in relation to the input parameters are shown by the positive (+) and negative (-) symbols. A sufficient signal was indicated by an adequate precision of 13.13. It seems like the model suited the applied data well, as evidenced by the non-significant lack of fit (F\u0026thinsp;=\u0026thinsp;1.54, P\u0026thinsp;=\u0026thinsp;0.52, p\u0026thinsp;\u0026gt;\u0026thinsp;0.05) [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eAll 17 RES-loaded NLC dispersions had particle sizes ranging from 332 nm to 787.3 nm. Increased Lipid content was shown to increase the size of NLC particles because it raises the solution\u0026rsquo;s viscosity, reduces the surfactant's capacity to emulsify, and increases the interfacial tension, which causes particle agglomeration. It was shown that an increase in the concentration of surfactant was associated with a reduction in the size of the particles. The reason for this might be that surfactants are adsorbed on the interface, lowering the surface tension that separates the lipid and aqueous phases. These outcomes align with earlier research that has been published [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]. The NLCs dispersion's particle size rises when the homogenization speed is increased because the particles agglomerate.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec29\" class=\"Section2\"\u003e \u003ch2\u003eIndependent factors' influence on PdI\u003c/h2\u003e \u003cp\u003eThe study examined the impact of three distinct parameters, namely A, B, and C, on the PdI of NLC dispersions loaded with RES. The chosen model, Response Y2, has a 3.79 F-value, which demonstrates the model's importance, according to the ANOVA's table result.\u003c/p\u003e \u003cp\u003eRegression equation representing the coded value for the chosen variable (PdI) is shown.\u003c/p\u003e \u003cp\u003ePdI (Y2)\u0026thinsp;=\u0026thinsp;0.3791\u0026ndash;0.0593A \u0026minus;\u0026thinsp;0.0054B\u0026thinsp;+\u0026thinsp;0.401C\u0026thinsp;+\u0026thinsp;0.320AB \u0026minus;\u0026thinsp;0.235AC\u0026thinsp;+\u0026thinsp;0.642BC -0.0072A\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;+\u0026thinsp;0.572B\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;+\u0026thinsp;0.072C\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eA sufficient signal was indicated by an adequate precision of 6.26. It seems like the model suited the provided data well, as evidenced by the non-significant lack of fit (F\u0026thinsp;=\u0026thinsp;0.74, P\u0026thinsp;=\u0026thinsp;0.4). According to the study's findings, all 17 formulations' PdIs fell between 0.04 and 0.621. Increasing lipid concentration resulted in a decrease in PdI, indicating a narrower size distribution. Higher lipid content promotes tighter packing around the core, favouring uniform particle formation. Increasing surfactant concentration decreased PdI up to a critical point, beyond which excessive micelle formation could lead to re-coalescence and increased PdI. This finding aligned with prior published studies [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eIndependent factors' influence on Entrapment efficiency\u003c/h3\u003e\n\u003cp\u003eThe study examined the impact of three distinct parameters, namely A, B, and C, regarding the Entrapment Efficiency (EE%) of NLC dispersions loaded with RES. The chosen model, Response Y3, has a 122.90 F-value, which demonstrates the model's importance, according to the ANOVA's table result.Regression equation representing the coded value for the chosen variable (Entrapment Efficiency) is shown.\u003c/p\u003e \u003cp\u003eEntrapment efficiency (Y3)\u0026thinsp;=\u0026thinsp;62.12\u0026thinsp;+\u0026thinsp;21.15A\u0026thinsp;+\u0026thinsp;1.42B \u0026minus;\u0026thinsp;1.4C 0.0936AB\u0026thinsp;+\u0026thinsp;2.88AC- 0.4200BC -10.69 A\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;+\u0026thinsp;3.49B\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;+\u0026thinsp;3.04 C\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eA sufficient signal was indicated by an adequate precision of 32.6. It seems like the model suited the applied data well, as evidenced by the non-significant lack of fit (F\u0026thinsp;=\u0026thinsp;0.92, P\u0026thinsp;=\u0026thinsp;0.8). It was discovered that when lipid content got higher, the EE rose owing to the extra space available for lodging and the reduced escape of medicines to the exterior phase. Surfactant presence increased the viscosity of the aqueous phase, leading to lower medication dispersion in the external phase [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. The homogenization speed increased, and EE rose as particle size decrease.\u003c/p\u003e \u003cdiv id=\"Sec31\" class=\"Section2\"\u003e \u003ch2\u003ePoint Prediction\u003c/h2\u003e \u003cp\u003eThe optimum formulation was chosen from Desirability Value 1 (Run 1) by Design Expert program. The variables lipid concentration (5%), surfactant concentration (2%), and homogenization speed (10000 rpm) were determined to be within our desired range and chosen as an optimum formulation. The improved formulation was developed and determined to be 274.3 nm in particle size, 0.246 PdI, and 75.42% entrapment efficiency, with a Zeta potential of -34.5 mV, respectively. The RES-loaded NLCs optimal formulation has a 95% confidence interval with a projected value for response (Y1, Y2, Y3) and a p-value of \u0026lt;\u0026thinsp;0.05. The refined formulation was employed for upcoming investigation.\u003c/p\u003e \u003cp\u003e \u003cb\u003eMeasurement of Particle size, PdI, Zeta Potential (ZP), and Entrapment Efficiency regarding the optimized RES-NLC dispersions\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe PS ranged from 332 to 787.3 nm for all formulations, as measured by the Malvern Zeta sizer (Table\u0026nbsp;1).With a PdI value of 0.246, the PS of the improved RES-NLC formulation was determined to be 274.3 nm (Fig.\u0026nbsp;3). Homogeneity is indicated by PdI values that are closer to 0, whereas heterogeneity particles are indicated by values that are closer to 1 [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]. As shown in Fig.\u0026nbsp;3, the improved composition exhibits a high negative zeta potential value of -34.5 mV, indicating its stability and lack of agglomeration [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]. The improved formula's entrapment efficiency was 75.42%, which matched the software's expected value.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec32\" class=\"Section2\"\u003e \u003ch2\u003eScanningElectron Microscopy (SEM) morphologic analysis\u003c/h2\u003e \u003cp\u003eThe SEM image of RES loaded NLC (Fig.\u0026nbsp;3)and RES incorporated Alginate beads (Fig.\u0026nbsp;3) depicts a smooth surfaced and spherically shaped particle.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cdiv id=\"Sec33\" class=\"Section3\"\u003e \u003ch2\u003eDifferential Scanning Calorimetry (DSC)\u003c/h2\u003e \u003cp\u003ePure resveratrol's DSC thermos image revealed a distinct endothermic peak at 172.4\u0026deg;C. The physical mixture's thermogram revealed maxima at 53\u0026deg;C and 73.7\u0026deg;C respectively, for Poloxamer 188 and Compritol 888 ATO. Thermogram of NLC loaded with resveratrol revealed peaks at 71\u0026deg;C, corresponding to Compritol 888 ATO, without an endothermic resveratrol peak (Fig.\u0026nbsp;4). There was little to no contact between the NLCs' constituent parts, and this data shows that there was entrapped RES in the NLCs [\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e].\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec34\" class=\"Section3\"\u003e \u003ch2\u003eNLC loaded-Alginate Bead Formulation\u003c/h2\u003e \u003cdiv id=\"Sec35\" class=\"Section4\"\u003e \u003ch2\u003eFormulation of NLC-Alginate Sol\u003c/h2\u003e \u003cp\u003eA gentle agitation was employed to create the NLC-alginate sol because shear might potentially cause disruptions while mixing the NLC dispersion with the alginate stock solution. The structure of NLC. Phase separation was not seen following the mixing process, suggesting that alginate and NLC dispersion were well suited to each other. Alginate couldn't harm NLC's oil-water interface as it was a hydrophilic hydrocolloid with little surface activity.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003c/div\u003e\n\u003ch3\u003eFormulation of NLC-Alginate beads\u003c/h3\u003e\n\u003cp\u003eCatalysed by calcium ions, NLC-alginate beads are created by the extrusion-dropping technique. First, it was looked into how calcium ions affected the physical stability of NLC[\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e]. The NLC's average size of particles and PdI were 274\u0026thinsp;\u0026plusmn;\u0026thinsp;2 nm and 0.246\u0026thinsp;\u0026plusmn;\u0026thinsp;0.025, correspondingly, following an hour of incubation in the crosslinked fluid. The crosslinked fluid did not significantly affect NLC stability while the process of crosslinking is underway, as seen by the distribution of particle sizes being close to the initial NLC dispersion [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. The typical radius of the NLC-alginate beads that were created was around one millimetre. With a yield efficiency of 95.6% for RES after the crosslinking process, there may have been some leakage.\u003c/p\u003e \u003cdiv id=\"Sec37\" class=\"Section2\"\u003e \u003ch2\u003eAnalysis of NLC-Alginate beads\u003c/h2\u003e \u003cdiv id=\"Sec38\" class=\"Section3\"\u003e \u003ch2\u003eParticle size\u003c/h2\u003e \u003cp\u003eThe produced NLC-alginate beads had an average radius of around 1 mm. After drying the particle size was reduced around 100 to 500 micrometres.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec39\" class=\"Section2\"\u003e \u003ch2\u003eSurface Morphology\u003c/h2\u003e \u003cp\u003eSpherical beads exhibited a rough surface that was scattered with different fractures, wrinkles, and pores was found according to the SEM image (Fig.\u0026nbsp;3). These traits most likely have anything to do with the beads' dehydration process[\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e].\u003c/p\u003e \u003cdiv id=\"Sec40\" class=\"Section3\"\u003e \u003ch2\u003eExamining NLC-Alginate beads with FT-IR Analysis\u003c/h2\u003e \u003cp\u003eThe infrared spectra of NLC displayed Peaks at 2900.00 cm\u0026thinsp;\u0026minus;\u0026thinsp;1 (the C-H stretching), 3311.89 cm\u0026thinsp;\u0026minus;\u0026thinsp;1 (O-H stretching),1383.00 cm\u0026thinsp;\u0026minus;\u0026thinsp;1 (CH2 stretching). All of the unique peaks of NLC were conserved in the NLC-alginate beads infrared spectra indicating that NLC and alginate did not interact with one another intermolecularly (Fig.\u0026nbsp;5). This outcome provided additional evidence that NLC and alginate were only physically mixed together without any intermolecular interaction.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eInvestigation of\u003c/b\u003e \u003cb\u003eIn vitro\u003c/b\u003e \u003cb\u003edrug release *\u003c/b\u003e\u003c/p\u003e \u003cp\u003eThe simultaneous discharge of resveratrol from NLC beads, Optimized NLC and NLC-Sol plotted against time over the course of a day, the drug release from the NLCs was examined in enzyme-free SGF and SIF (Fig.\u0026nbsp;6). The NLC dispersion showed a profile of two-stage release profile, with a comparatively quick release of approximately 19.7% RES within the first two hours and a gradual release of approximately 98% RES until the study\u0026rsquo;s end. These findings suggest that, significant number of resveratrol was securely bonded to the lipid framework and enclosed inside the solid NLC core [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e]. Given that there was a very small distance between NLC and the medium, the first quick release may have been caused by the RES that was abundant in the surface of NLC formulation. NLC-Sol exhibited a two-phase release profile, akin to that of NLC dispersion, along with a comparable rate of release during the first stage and a limited simultaneous drug release during the protracted phase of release. This suggests that the release may be influenced by the interaction between polymers and NLC. Polymers around NLC have been observed to cause a delayed release [\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e]. Resveratrol released from NLC-alginate beads did not release as quickly as it did from NLC dispersion and NLC-alginate sol without burst release.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e\n\u003ch3\u003eDrug release kinetics\u003c/h3\u003e\n\u003cp\u003eUsing the DD solver the kinetic model for the drug release pattern was chosen based on which model had the greatest correlation value (R\u003csup\u003e2\u003c/sup\u003e). The optimum NLC formulation, NLC Alginate sol, and NLC Alginate beads exhibit first-order release kinetics and zero-order release kinetics, respectively. The Weibull model provides the greatest match for all three formulations, it was shown in Table\u0026nbsp;4 [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e].\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eRelease kinetics data\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRelease kinetics mode\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eOptimized NLC Formulation\u003c/p\u003e \u003cp\u003eR\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNLC-Sol\u003c/p\u003e \u003cp\u003eR\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eNLC Alginate beads R\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eZero-order Release\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.8555\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.8983\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.9717\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFirst-order Release\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.9401\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.9168\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.8622\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHiguchi model\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.8863\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.8368\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.6857\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eKorsmeyer-Peppas model\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.9500\u003c/p\u003e \u003cp\u003en\u0026thinsp;=\u0026thinsp;0.708\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.9394\u003c/p\u003e \u003cp\u003en\u0026thinsp;=\u0026thinsp;0.790\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.9942\u003c/p\u003e \u003cp\u003en\u0026thinsp;=\u0026thinsp;1.226\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eWeibull Model\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.9901\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.9845\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.9810\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHixson Crowell\u0026rsquo;s kinetics\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.9011\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.9462\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.8983\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eIn vitro\u003c/b\u003e \u003cb\u003eLipid Digestion Study\u003c/b\u003e\u003c/p\u003e \u003cp\u003eThe average particles size ofamong samples varies at each digestion stage. The particle size in optimized NLC and NLC alginate sol remained almost unaltered after passing. Gastric digestion simulations did not destabilize or aggregate NLC in dispersion and Sol of NLC-alginate. The NLC particle present in NLC-alginate beads shrank considerably after passing through the stomach. The inclusion of NLC in Alginate beads did not degrade its structure, and simulated gastric digestion did not cause any issues [\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e]. The alginate beads remained same in Simulated Gastric Fluid (SGF) as the production of non-soluble alginic acid in the low-level pH solution removed calcium ions from the alginate. NLC aggregated after two hours of intestinal digestion, as evidenced by a rise in the mean size of NLC formulation over 780 nm (Fig.\u0026nbsp;6).\u003c/p\u003e \u003cp\u003eThe increase of the surface area of exposed lipid, which was derived from the displacement of emulsifiers in the surface of NLC by bile salts in SIF and the lipolysis by pancreatic lipases, could cause the aggregation [\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e]. The NLC-alginate sol exhibited a stable pattern of size distribution despite an increase in particle size to 450 nm. Following 30 minutes of intestine processing, the particle size of NLC-alginate beads in SIF reached approximately 280 nm, and after two hours, it climbed to 320 nm. In a neutral pH SIF, alginate beads made from were unstable, resulting in swelling-dissolution-erosion and release of contained chemicals [\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e]. The extent of swelling varied according on the period of intestinal residence. Visual inspection revealed swelling of NLC-alginate beads, which changed in size during intestinal digestion. This suggests that the incorporated NLC diffused into SIF and was hydrolysed by lipases outside the beads.\u003c/p\u003e\n\u003ch3\u003eStability study\u003c/h3\u003e\n\u003cp\u003eThe study on stability for the RES-NLCs-opt, NLC-Sol and the NLC-Alginate bead formulations. For the time period of 90 days. For Optimized RES-NLC, the particle size was raised beyond 400 nm. Large particle size peaks typically suggest nanoparticle agglomeration. The reformation and polymorphism of the lipid matrix in NLC dispersion can increase the exposed lipid surface area, which improves nanoparticle interaction [\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e]. The particle size in NLC-alginate sol was raised to around 370 nm. The addition of NLC-to-NLC alginate beads resulted in particle size around 303 nm. Thus, the inclusion of NLC in alginate beads might significantly expand the physical durability, it was shown in Fig.\u0026nbsp;6.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eIn order to strengthen the gastrointestinal function and physical steadiness of NLCs, the present work integrated resveratrol-loaded NLC into the beads using an extrusion dropping approach. The integration of NLC into alginate beads did not significantly affect the attributes of NLC, such as particle size, morphology and structure, according to DLS, SEM, and FTIR examination. Studies on stability have shown that by preventing aggregation, NLC added to alginate beads may considerably increase physical stability. In a release study, NLC-alginate beads worked better to control the expulsion of resveratrol than RES-NLC and RES NLC-Sol. Dispersion and NLC-Sol behaved differently in the gastrointestinal system than integrated NLC. The polymeric matrix hindered the small-sized NLC's ability to diffuse into SGF. Following intestinal digestion, NLC gradually diffused from the beads and NLC aggregation in SIF was prevented, all the while the lipid matrix was gradually destroyed. It was discovered that alginate worked well for adding NLC, enhancing physical stability, changing gastrointestinal motility, and managing release during digestion.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgement\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe\u0026nbsp;authors would like to thank PSG College of Pharmacy, Coimbatore, Tamil Nadu, India for providing the necessary support.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor\u0026rsquo;s Contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSangeethkumar Manikandan: Writing- Original draft, Review and Editing, Giridharan Annamalai: Writing- Review and Editing, Mohankumar Dhasaiyan: Writing- Review and Editing,\u0026nbsp;Preethy Ani Jose:\u0026nbsp;Review and Editing,\u0026nbsp;Arjunan Karuppaiah: Supervision,\u0026nbsp;Writing- Review and Editing,\u0026nbsp;Habibur Rahman: Conceptualization, Supervision,\u0026nbsp;Writing- Review and Editing.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that this research work received no funding from any external sources.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Availability\u003c/strong\u003e \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe data included in this paper were obtained from research that have been published as well as additional online publications. Sources of the data are mentioned in the reference section. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of interest\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no conflict of interest, financial or other-wise.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical Approval\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot Applicable\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eMehta, M., Bui, T. A., Yang, X., Aksoy, Y., Goldys, E. M., \u0026amp; Deng, W. (2023). Lipid-based nanoparticles for drug/gene delivery: an overview of the production techniques and difficulties encountered in their industrial development. 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International journal of pharmaceutics, \u003cem\u003e377\u003c/em\u003e(1\u0026ndash;2), 207\u0026ndash;214. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.ijpharm.2009.05.020\u003c/span\u003e\u003cspan address=\"10.1016/j.ijpharm.2009.05.020\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Nanostructured lipid carriers, Resveratrol, Alginate beads, Lipid digestion","lastPublishedDoi":"10.21203/rs.3.rs-4181006/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4181006/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eNanostructured lipid carriers (NLC) have low storage and gastrointestinal stability, limiting their applicability. The work aimed to elevate the stability and behaviour of NLC in the alimentary tract by creating an Alginate bead. Through the extrusion dropping procedure, Resveratrol (RES) loaded NLC were efficiently integrated into alginate beads. The incorporation had no significant impact on the particle size, morphology, or inner structure of NLC, as assessed using DLS (Dynamic Light Scattering), SEM (Scanning Electron Microscopy), Differential Scanning Calorimetry (DSC) and FT-IR (Fourier Transform Infra-Red). Incorporating NLC into alginate beads improves its physical stability compared to Dispersion of NLC as well as NLC-Sol. An \u003cem\u003ein vitro\u003c/em\u003e release investigation found that the NLC-alginate beads released RES more slowly than optimized NLC formulation (RES-NLCs-opt) and NLC-alginate sol. Research on simulated \u003cem\u003ein vitro\u003c/em\u003e digestive models revealed that just a small amount of integrated NLC may permeate stomach fluid due to its tiny size. The slow diffusion of NLC from alginate to intestinal fluid prevented aggregation and allowed for gentle hydrolysis of the lipid matrix. Incorporating NLC in alginate beads shows promise for improving stability, modifying gastrointestinal behaviour, and controlling release throughout the process of digestion.\u003c/p\u003e","manuscriptTitle":"The Effect of Physical Stability and Modified Gastrointestinal Tract Behaviour of Resveratrol-Loaded NLCs Encapsulated Alginate Beads","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-04-03 09:07:00","doi":"10.21203/rs.3.rs-4181006/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"dbfa74c0-a0ca-48f6-b75f-c87990cc22e3","owner":[],"postedDate":"April 3rd, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2024-06-21T14:55:32+00:00","versionOfRecord":{"articleIdentity":"rs-4181006","link":"https://doi.org/10.1007/s00210-024-03223-3","journal":{"identity":"naunyn-schmiedebergs-archives-of-pharmacology","isVorOnly":false,"title":"Naunyn-Schmiedeberg's Archives of Pharmacology"},"publishedOn":"2024-06-15 14:55:32","publishedOnDateReadable":"June 15th, 2024"},"versionCreatedAt":"2024-04-03 09:07:00","video":"","vorDoi":"10.1007/s00210-024-03223-3","vorDoiUrl":"https://doi.org/10.1007/s00210-024-03223-3","workflowStages":[]},"version":"v1","identity":"rs-4181006","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4181006","identity":"rs-4181006","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}