Design of a 1% Ni, S-Doped TiO₂ Heterogeneous Nano-catalyst for Catalytic Synthesis of Benzoxazole Derivatives

Design of a 1% Ni, S-Doped TiO₂ Heterogeneous Nano-catalyst for Catalytic Synthesis of Benzoxazole Derivatives | 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 Short Report Design of a 1% Ni, S-Doped TiO₂ Heterogeneous Nano-catalyst for Catalytic Synthesis of Benzoxazole Derivatives Akshay Patil, Dr. Brijadulal Ghosh, Sharad Sonawane This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8867604/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract A heterogeneous nanocatalyst made from 1% Ni, S doped titanium dioxide (TiO2) was used in developing a green and efficient synthesis of benzoxazole derivatives via an environmentally sustainable and a solvent-free condensation reaction between 2-aminophenol and aromatic aldehydes. Characterization of the catalyst included FT-IR, XRD, SEM, and EDS analysis as well as determination of its catalytic activity. The catalyst showed good thermal stability and was able to be reused 5 times with minimal loss in activity. Overall, this new catalytic system represents a viable alternative for benzoxazole synthesis due to several advantages such as being environmentally compatible, low cost, easy to work with and reusable. Benzoxazole derivatives Ni-S doped TiO₂ Heterogeneous nano catalyst Green synthesis Solvent-free reaction Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Introduction Benzoxazole derivatives are an important type of heterocycle containing both nitrogen and oxygen. Because of their potential applications in pharmaceutical chemistry, materials science and as bioactive molecules, they have attracted increasing attention in recent years [ 1 , 2 ]. The many types of biological activity including antibacterial, antitumor, antiviral and anti-inflammatory activities exhibited by benzoxazole derivatives make them common in natural products, pharmaceuticals and functional materials. Due to their structural importance and biological relevance, benzoxazole frameworks continue to be studied extensively in synthetic organic chemistry. In general, benzoxazole derivatives can be synthesized through cyclo-condensation reactions of 2-amino phenols with aldehydes or carboxylic acid derivatives in the presence of various catalysts [ 1 , 14 ]. Although cyclo-condensation reactions are generally successful in synthesizing benzoxazole derivatives, the disadvantageous characteristics of these methods include long reaction time, high temperature and the need to employ toxic solvents. Additionally, the separation of catalyst from homogeneous catalytic systems is also difficult and represents another obstacle to the application of homogeneous catalytic systems to the preparation of benzoxazoles on a larger scale [ 3 , 4 ]. Therefore, the development of more environmentally benign and efficient catalytic methods for the synthesis of benzoxazoles has been motivated by the desire to minimize the disadvantages of cyclo-condensation reactions for the synthesis of benzoxazole derivatives. Heterogeneous nano catalysts have emerged as promising alternatives to heterogeneous catalysts in the recent years due to their high surface area, increased catalytic performance, thermal stability and recoverability in reaction mixtures [ 12 , 13 ]. Due to their chemical stability, low costs, non-toxicity and versatile catalytic activity, metal-oxide nanoparticles, especially TiO 2, have generated much interest among other nanomaterials [ 9 , 10 ]. Nevertheless, owing to the poor electron-transfer capacities and low surface acidity, pure TiO2 sometimes exhibits low catalytic activity. These restrictions have been overcome by the metal and non-metal doping methods that modify the electronic structure and surface properties of TiO2 nanomaterials. As research has shown, it is the metal-doped TiO2 nanoparticles that are more catalysically active due to increased surface acidity and improved electron transfer [ 6 ]. Sulphur-doped TiO 2 has demonstrated enhanced catalytic and photocatalytic activity in band-gap modification and enhanced surface reactivity in particular [ 7 , 15 ]. The efficiency of the catalysts can also be maximized by providing a higher number of active sites on TiO2 structures by incorporation of transition metals such as nickel [ 6 ]. Consequently, nanostructured TiO2 based catalysts have been successful in reactions with heterocycles and green organic synthesis especially when solvent-free reaction is conducted in the presence of the recyclable catalysts [ 2 , 3 , 11 , 12 ]. The current work, which is driven by these developments, describes the design of a 1% Ni,S-doped TiO2 heterogeneous nanocatalyst and how the material can be used in the production of benzoxazole derivatives in an environmentally friendly manner. Experimental Materials and Instrumentations: All the reagents and chemicals used in this research were of Sigma-Aldrich and Merck and were not purified further. The reaction progression was observed with the help of thin-layer chromatography (TLC) on silica-gel plates. The measured melting points of compounds were measured using Lab India melting -point device (MR-VIS+). FT-IR spectra were determined by Shimadzu IR Prestige-21 spectrometer. X-ray diffraction (XRD) was used to ensure crystallinity of the synthesized nanoparticles and the data was recorded using a PANalytical X’Pert Pro diffractometer. Scanning electron microscopy (SEM) was utilized in determining the catalyst morphology with energy- dispersive X-ray spectroscopy (EDS) determining the elemental composition. Preparation of Bare TiO₂ Nano catalyst: Bare TiO2 nanoparticles were prepared through a sol-gel process. To make clear solution 10 mL titanium isopropoxide was put into 50 mL of the absolute ethanol and stirred at a constant magnetic stirring. Then, 10 ml of distilled water was added to a solution in which hydrolysis was initiated with constant stirring. To limit the rate of hydrolysis, a small percentage of diluted nitric acid was added. The suspension so obtained was kept at ambient temperature for 4 hours at which a homogeneous gel appeared. This gel was then aged for 24 h. After the period of adding age, the sample was dried in an oven at 100°C for 12 h. After that, the dried product was subjected to calcination at 450°C in muffle furnace and the product was burnt to produce pure TiO2 nano-particles. The resulting catalyst was then left to be kept in a desiccator before it could be used. Preparation of 1% Ni,S-Doped TiO₂ Nano catalyst: Ni,S doped with TiO2 nanocatalyst would be synthesized using a modified sol gel method. To carry out an experiment, 10 mL of titanium isopropoxide was added to 50 mL of ethanol with continuous stirring and the mixture was obtained as a clear solution, uniform throughout. The precursors of nickel and sulfur were added as nickel nitrate (1 mol%) and thiourea respectively. Then 10mL of the deionized water was added at a time with continuous stirring to facilitate hydrolysis. The resulting solution was left at room temperature for 4 h, in which the formation of a homogenous gel was permitted. The gel was left to dry after 24 hrs after which it was dried in an oven at 100°C. After drying of the substance, calcination in a muffle furnace, at 450°C for 3h, was carried out to obtain the 1%Ni,S doped TiO2 nanoparticles. The catalyst thus prepared was preserved in a desiccator for further use. General Procedure for the Synthesis of Benzoxazole Derivatives: A mixture of 2-aminophenol derivatives (1 mmol), an aromatic aldehyde (1 mmol) and 1%Ni,S-TiO2 nano catalyst (0.03 g) were stirred at 70°C under solvent free condition for the specified period. Reaction progress was monitored by thin layer chromatography with a solvent system of n-hexane:ethyl acetate (4:1). Once the reaction was complete, hot ethanol (5 mL) was added into the reaction mixture and stirred for 5 min. The catalyst was separated using a simple filtration and wash with ethanol for further use. The crude material was recrystallised from hot ethanol to give pure benzoxazole derivatives. The purified compounds were confirmed by matching the reported physical and spectral data. Catalyst Preparation Description: The synthesis of the 1%Ni,S-doped TiO2 nano catalyst is achieved by the hydrolysis and condensation of a precursor of titanium oxide and the introduction of nickel and sulfur dopants in the presence of a sol-gel process. After which drying and calcination process provides nanocrystalline doped TiO2 particles with a greater catalytic property. Results and discussion FT-IR spectra of bare TiO2 and for the synthesized 1% Ni,S doped TiO2 nano catalysts are shown in Fig 1. The sharp band value around at 400-700 cm-1 is Ti-O-Ti lattice vibrations, which reveals the formation of a titanium dioxide nanostructure. The wide intense band at 3400 cm-1 can be attributed to the stretching vibration of hydroxyl groups, H2O molecules on the nano catalyst surface. The band at 1630cm-1 is linked to H-O-H bending vibrations. In addition, as presented in Figure 1, after doping using nickel and sulfur, it is worth noting that the band corresponding to Ti-O-Ti lattice vibrations is still maintained for synthesized 1% Ni,S doped TiO2 nanostructured materials, revealing that TiO2 framework is not disturbed even after doping of nickel and sulfur with special note a very small band which appears corresponding to the stretching vibrations of nickel oxide vibrations at 720 cm-1. The bands corresponding to 1100 and 1130 cm-1 are due to S-O stretching vibrations of sulfur doping. Furthermore, hydroxyl group at 3400 cm-1 and 1630 cm-1 point to existence of H2O molecules adsorbed on the surface of the nano catalyst material. Such results show that 1% Ni,S doped TiO2 nanostructured heterogeneous nano catalyst is successfully obtained without changing the TiO2 lattice framework. The scanning electron micrograph image of the 1% Ni, S doped TiO2 nano catalyst shown in Figure 2 reveal the specific size range of 30-60 nm and highly spherical shape with some agglomeration of the synthesized particles. The more or less uniform distribution of the particles makes it reasonable to assume that the sol-gel synthesis method succeeded for preparation of TiO2 nanoparticles. Metal-oxide nanoparticles tend to stick together because they have high surface energy. The small particle size, as well as the aggregated pore structure, points to a large specific surface area, which is expected to provide good catalytic activity. The Figure 3 EDS spectrum of the nano catalyst in SEM represents the spectrum. According to EDS spectrum, it is confirmed that the element in the catalyst consists of titanium, oxygen, nickel and sulfur which is a clear indication that nickel and sulfur were successfully inserted as dopant molecules in titanium. This is because no impurity indicators are observed and this shows that the synthesized nano catalyst is absolutely pure. Figure 4 XRD profile of 1% Ni,S-doped TiO2 nano catalyst in the 2θ range 10-80°. Figure 4 indicates the formation of crystalline titanium dioxide nanoparticles revealed by the XRD pattern of the 1% Ni,S-doped TiO2 nano catalyst recorded at the range of 2θ at 10-80°. The peaks are identified by diffraction 2θ values 25.3°, 37.8°, 48.0°, 54.0°, 55.1°, and 62.7° correspondingly to the (101), (004), (200), (105), (211), and (204) planes of anatase TiO2 and much closer to the standard TiO 2 diffraction data (JCPDS No. 21-1272). No extra peaks were observed at the pattern of diffusion related to nickel and sulfur compounds; this clearly demonstrates that dopant species are well dispersed throughout the TiO2 lattice. The minor decrease in the peak intensity and the extension in the diffraction lines indicate structural alteration with the addition of Ni and S. These findings confirms that synthesized catalyst retains the anatase crystalline form of TiO2 and has a nanoscale crystallite size. Catalytic activity of 1% Ni,S-doped TiO2 heterogeneous nano catalyst was used in the preparation of 2-phenylbenzoxazole. The reaction between 2-aminophenol and benzaldehyde under condensation reaction was done to optimize the conditions of the reaction. The initial experiments showed that using 0.03 g of the nano catalyst, the solvent-free experiment gave the best results (Table 1, entry 9). As it can be observed in Table 1 entry 1, no reaction is achievable without the use of catalyst, which is why the nano catalyst is critical. As the quantity of catalyst is increased, the reaction rate gets high. The desired benzoxazole derivatives were effectively converted with the help of 0.03 g of catalyst. Additional quantity of catalyst did not produce a significant impact on the reaction time or the yield of the product. The effect of temperature was also examined and it was realized that the reaction rate increases with an increase in temperature, 70°C is the best temperature to use in the synthesis of benzoxazole derivatives by 2-aminophenol and benzaldehyde. Table 1. Optimization study of the reaction conditions in the condensation of benzaldehyde with 2-aminophenol Sr. No. Catalyst amount (g) Condition Time (min) Yield (%) 1 0 H2O, reflux NA NA 2 0 EtOH, reflux 120 15 3 0.04 H2O, reflux 120 40 4 0.04 EtOH, reflux 90 60 5 0.04 EtOH:H2O(1;1), reflux 90 40 6 0.04 EtOAc, reflux 90 65 7 0.04 1% Ni-S doped TiO2, 50°C 50 80 8 0.03 1% Ni-S doped TiO2, 60°C 60 90 9 0.03 1% Ni-S doped TiO2, 70°C 60 92 10 0.02 1% Ni-S doped TiO2, 80°C 50 93 11 0.03 1% Ni-S doped TiO2, RT 120 75 To determine the efficiency of the designed reaction, the optimized reaction condition was carried out by interacting a various substituted aromatic aldehydes, which possess different electron-withdrawing and electron-donating groups with the 2-aminophenol derivatives (Table 2). The outcome of the experiment has demonstrated that it is possible to perform the reaction successfully through the utilization of different aldehyde and 2-aminophenol. The condensation of benzaldehyde with 2-aminophenol was investigated at 70°C under solvent free condition to test the reusability of catalyst. After the completion of each reaction catalyst was separated from the reaction mixture and the catalyst was washed with ethanol, dried at 60°C for one hour in a vacuum oven and then reused. The yields from five consecutive runs (90%, 88%, 86%, 85% and 81%) show that the catalyst retains its activity for at least 5 reactions without reducing its catalytic efficiency (Figure 5). The catalytic activities of 1% Ni,S doped with TiO2 were compared to other catalysts for condensation of 2-aminophenol and benzaldehyde. As shown in Table 3, this system is superior compared with previously reported methods in terms of shorter reaction time, more effective product, lower catalyst loading and better environmental compatibility. Table 3: A comparison of the efficiency of several catalysts in the production of 2-pheylbenzoxazole Entry Catalyst (amount) Conditions Time (h) Yield (%) Ref. 1 TiCl₃·OTf (10 mol%) EtOH, r.t. 2.2 80 [23] 2 CeCl₃ (15 mol%) + NaI (10 mol%) Toluene, 100 °C 36 40 [24] 3 Sm(OTf)₃ (10 mol%) EtOH:H₂O, 50–60 °C 2 92 [25] 4 DDQ (0.25 g) CH₂Cl₂, r.t. 12 93 [26] 5 CuO-np/SiO₂ (10 mol%) MeOH, r.t. 7 80 [27] 6 HAuCl₄·4H₂O (2 mol%) THF, 40 °C 6 96 [28] 7 1%N,S doped with TiO2 Neat/ 70°C 1 92 a a This work Conclusion The heterogeneous nano catalyst 1%Ni,S doped TiO2 was prepared by a simple procedure and was characterized by FT-IR, XRD, SEM and EDX. The nano catalyst showed good catalytic activity and high efficiency on the solvent free condensation of 2-aminophenol and its derivatives with various aromatic aldehydes to obtain products of 2-arylbenzoxazole derivatives. Compare to conventional catalytic systems, present reaction has several advantages, such as the reaction conditions are milder, it is green, the reaction doesn't require harsh reagents, the work-up is simple and the catalyst recycling can be performed easily via simple filtration. Moreover, the catalyst showed excellent stability during the prolonged reusability tests which also maintained the catalytic activity, therefore the Ni,S-doped TiO2 nanocatalyst can be considered as efficient and ecofriendly catalyst for the synthesis of benzoxazole derivatives. Hence, the 1%Ni,S doped with TiO2 nano catalyst is efficient and green catalyst in the synthesis of benzoxazole derivatives. Declarations Conflicts of Interest The authors declare no conflicts of interest. Author Contribution Author ContributionsA.P. carried out the experimental work, catalyst synthesis, characterization analysis, and manuscript writing.B.G. supervised the research work, reviewed the manuscript, and provided scientific guidance.S.S. assisted in data analysis, experimental validation, and manuscript editing.All authors reviewed and approved the final manuscript. Acknowledgements We would like to acknowledge Dr. Leena Patil HOD Department of Chemistry Sandip University, School of Science for giving me possible support for this research publication. We acknowledge RAP Analytical Solution Lab for SEM, EDS, XRD, and FT-IR characterization support.. We would like to acknowledge central instrumentation facility (CIF)lab school of science Sandip University Nashik for providing necessary support. References Kumar A, Sharma S, Maurya RA (2014) Catalytic Synthesis of Benzoxazoles Using Metal Oxide Nanoparticles. 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Heterocycl Commun 18:211–214 Datta A (2021) Catalytic synthesis of heterocyclic compounds using green methods. Orient J Chem 37:341–347 Wijekoon S, Gunasekara C, Palliyaguru L, Fernando N, Jayaweera P, Kumarasinghe U (2022) Green synthesis of heterocyclic compounds using recyclable catalysts. Asian J Green Chem 6:297–319 Inamdar SM, More VK, Mandal SK (2013) Rapid synthesis of benzoxazole derivatives under catalytic conditions. Tetrahedron Lett 54:579–583 Baghernejad B, Hojati SM (2022) Green synthesis of benzoxazole derivatives using heterogeneous catalysts. Asian J Green Chem 6:194–202 Additional Declarations No competing interests reported. Supplementary Files Screenshot20260216093042.png Graphical Abstract Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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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-8867604","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Short Report","associatedPublications":[],"authors":[{"id":591220146,"identity":"d1543ed5-65ce-4a06-bc56-7dc7c9e858f9","order_by":0,"name":"Akshay 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catalyst\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-8867604/v1/3d4b4c5c4646cf75278384b9.png"},{"id":107073639,"identity":"5d08e363-3509-4ba6-86fc-170c30bd4e9c","added_by":"auto","created_at":"2026-04-16 12:43:08","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1920124,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8867604/v1/0785c86f-0dbc-48f6-91a2-cf21bd841935.pdf"},{"id":102729618,"identity":"676f1d52-2370-4ab6-bb3d-4f9357da5a17","added_by":"auto","created_at":"2026-02-16 04:09:56","extension":"png","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":30111,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eGraphical Abstract\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"Screenshot20260216093042.png","url":"https://assets-eu.researchsquare.com/files/rs-8867604/v1/a91a35972805e7b185540bad.png"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eDesign of a 1% Ni, S-Doped TiO₂ Heterogeneous Nano-catalyst for Catalytic Synthesis of Benzoxazole Derivatives\u003c/p\u003e","fulltext":[{"header":"Introduction","content":"\u003cp\u003eBenzoxazole derivatives are an important type of heterocycle containing both nitrogen and oxygen. Because of their potential applications in pharmaceutical chemistry, materials science and as bioactive molecules, they have attracted increasing attention in recent years [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. The many types of biological activity including antibacterial, antitumor, antiviral and anti-inflammatory activities exhibited by benzoxazole derivatives make them common in natural products, pharmaceuticals and functional materials. Due to their structural importance and biological relevance, benzoxazole frameworks continue to be studied extensively in synthetic organic chemistry. In general, benzoxazole derivatives can be synthesized through cyclo-condensation reactions of 2-amino phenols with aldehydes or carboxylic acid derivatives in the presence of various catalysts [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. Although cyclo-condensation reactions are generally successful in synthesizing benzoxazole derivatives, the disadvantageous characteristics of these methods include long reaction time, high temperature and the need to employ toxic solvents. Additionally, the separation of catalyst from homogeneous catalytic systems is also difficult and represents another obstacle to the application of homogeneous catalytic systems to the preparation of benzoxazoles on a larger scale [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Therefore, the development of more environmentally benign and efficient catalytic methods for the synthesis of benzoxazoles has been motivated by the desire to minimize the disadvantages of cyclo-condensation reactions for the synthesis of benzoxazole derivatives.\u003c/p\u003e \u003cp\u003eHeterogeneous nano catalysts have emerged as promising alternatives to heterogeneous catalysts in the recent years due to their high surface area, increased catalytic performance, thermal stability and recoverability in reaction mixtures [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Due to their chemical stability, low costs, non-toxicity and versatile catalytic activity, metal-oxide nanoparticles, especially TiO 2, have generated much interest among other nanomaterials [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. Nevertheless, owing to the poor electron-transfer capacities and low surface acidity, pure TiO2 sometimes exhibits low catalytic activity. These restrictions have been overcome by the metal and non-metal doping methods that modify the electronic structure and surface properties of TiO2 nanomaterials. As research has shown, it is the metal-doped TiO2 nanoparticles that are more catalysically active due to increased surface acidity and improved electron transfer [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Sulphur-doped TiO 2 has demonstrated enhanced catalytic and photocatalytic activity in band-gap modification and enhanced surface reactivity in particular [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. The efficiency of the catalysts can also be maximized by providing a higher number of active sites on TiO2 structures by incorporation of transition metals such as nickel [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Consequently, nanostructured TiO2 based catalysts have been successful in reactions with heterocycles and green organic synthesis especially when solvent-free reaction is conducted in the presence of the recyclable catalysts [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. The current work, which is driven by these developments, describes the design of a 1% Ni,S-doped TiO2 heterogeneous nanocatalyst and how the material can be used in the production of benzoxazole derivatives in an environmentally friendly manner.\u003c/p\u003e"},{"header":"Experimental","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eMaterials and Instrumentations:\u003c/h2\u003e \u003cp\u003eAll the reagents and chemicals used in this research were of Sigma-Aldrich and Merck and were not purified further. The reaction progression was observed with the help of thin-layer chromatography (TLC) on silica-gel plates. The measured melting points of compounds were measured using Lab India melting -point device (MR-VIS+). FT-IR spectra were determined by Shimadzu IR Prestige-21 spectrometer. X-ray diffraction (XRD) was used to ensure crystallinity of the synthesized nanoparticles and the data was recorded using a PANalytical X\u0026rsquo;Pert Pro diffractometer. Scanning electron microscopy (SEM) was utilized in determining the catalyst morphology with energy- dispersive X-ray spectroscopy (EDS) determining the elemental composition.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003ePreparation of Bare TiO₂ Nano catalyst:\u003c/h3\u003e\n\u003cp\u003eBare TiO2 nanoparticles were prepared through a sol-gel process. To make clear solution 10 mL titanium isopropoxide was put into 50 mL of the absolute ethanol and stirred at a constant magnetic stirring. Then, 10 ml of distilled water was added to a solution in which hydrolysis was initiated with constant stirring. To limit the rate of hydrolysis, a small percentage of diluted nitric acid was added. The suspension so obtained was kept at ambient temperature for 4 hours at which a homogeneous gel appeared. This gel was then aged for 24 h. After the period of adding age, the sample was dried in an oven at 100\u0026deg;C for 12 h. After that, the dried product was subjected to calcination at 450\u0026deg;C in muffle furnace and the product was burnt to produce pure TiO2 nano-particles.\u003c/p\u003e \u003cp\u003eThe resulting catalyst was then left to be kept in a desiccator before it could be used.\u003c/p\u003e\n\u003ch3\u003ePreparation of 1% Ni,S-Doped TiO₂ Nano catalyst:\u003c/h3\u003e\n\u003cp\u003eNi,S doped with TiO2 nanocatalyst would be synthesized using a modified sol gel method. To carry out an experiment, 10 mL of titanium isopropoxide was added to 50 mL of ethanol with continuous stirring and the mixture was obtained as a clear solution, uniform throughout. The precursors of nickel and sulfur were added as nickel nitrate (1 mol%) and thiourea respectively. Then 10mL of the deionized water was added at a time with continuous stirring to facilitate hydrolysis. The resulting solution was left at room temperature for 4 h, in which the formation of a homogenous gel was permitted. The gel was left to dry after 24 hrs after which it was dried in an oven at 100\u0026deg;C. After drying of the substance, calcination in a muffle furnace, at 450\u0026deg;C for 3h, was carried out to obtain the 1%Ni,S doped TiO2 nanoparticles.\u003c/p\u003e \u003cp\u003eThe catalyst thus prepared was preserved in a desiccator for further use.\u003c/p\u003e\n\u003ch3\u003eGeneral Procedure for the Synthesis of Benzoxazole Derivatives:\u003c/h3\u003e\n\u003cp\u003eA mixture of 2-aminophenol derivatives (1 mmol), an aromatic aldehyde (1 mmol) and 1%Ni,S-TiO2 nano catalyst (0.03 g) were stirred at 70\u0026deg;C under solvent free condition for the specified period. Reaction progress was monitored by thin layer chromatography with a solvent system of n-hexane:ethyl acetate (4:1). Once the reaction was complete, hot ethanol (5 mL) was added into the reaction mixture and stirred for 5 min. The catalyst was separated using a simple filtration and wash with ethanol for further use.\u003c/p\u003e \u003cp\u003eThe crude material was recrystallised from hot ethanol to give pure benzoxazole derivatives. The purified compounds were confirmed by matching the reported physical and spectral data.\u003c/p\u003e\n\u003ch3\u003eCatalyst Preparation Description:\u003c/h3\u003e\n\u003cp\u003eThe synthesis of the 1%Ni,S-doped TiO2 nano catalyst is achieved by the hydrolysis and condensation of a precursor of titanium oxide and the introduction of nickel and sulfur dopants in the presence of a sol-gel process. After which drying and calcination process provides nanocrystalline doped TiO2 particles with a greater catalytic property.\u003c/p\u003e"},{"header":"Results and discussion","content":"\u003cp\u003eFT-IR spectra of bare TiO2 and for the synthesized 1% Ni,S doped TiO2 nano catalysts are shown in Fig 1. The sharp band value around at 400-700 cm-1 is Ti-O-Ti lattice vibrations, which reveals the formation of a titanium dioxide nanostructure. The wide intense band at 3400 cm-1 can be attributed to the stretching vibration of hydroxyl groups, H2O molecules on the nano catalyst surface. The band at 1630cm-1 is linked to H-O-H bending vibrations. In addition, as presented in Figure 1, after doping using nickel and sulfur, it is worth noting that the band corresponding to Ti-O-Ti lattice vibrations is still maintained for synthesized 1% Ni,S doped TiO2 nanostructured materials, revealing that TiO2 framework is not disturbed even after doping of nickel and sulfur with special note a very small band which appears corresponding to the stretching vibrations of nickel oxide vibrations at 720 cm-1. The bands corresponding to 1100 and 1130 cm-1 are due to S-O stretching vibrations of sulfur doping. Furthermore, hydroxyl group at 3400 cm-1 and 1630 cm-1 point to existence of H2O molecules adsorbed on the surface of the nano catalyst material. Such results show that 1% Ni,S doped TiO2 nanostructured heterogeneous nano catalyst is successfully obtained without changing the TiO2 lattice framework.\u003c/p\u003e\n\u003cp\u003eThe scanning electron micrograph image of the 1% Ni, S doped TiO2 nano catalyst shown in Figure 2 reveal the specific size range of 30-60 nm and highly spherical shape with some agglomeration of the synthesized particles. The more or less uniform distribution of the particles makes it reasonable to assume that the sol-gel synthesis method succeeded for preparation of \u0026nbsp;TiO2 nanoparticles. Metal-oxide nanoparticles tend to stick together because they have high surface energy. The small particle size, as well as the aggregated pore structure, points to a large specific surface area, which is expected to provide good catalytic activity.\u003c/p\u003e\n\u003cp\u003eThe Figure 3 EDS spectrum of the nano catalyst in SEM represents the spectrum. According to EDS spectrum, it is confirmed that the element in the catalyst consists of titanium, oxygen, nickel and sulfur which is a clear indication that nickel and sulfur were successfully inserted as dopant molecules in titanium. This is because no impurity indicators are observed and this shows that the synthesized nano catalyst is absolutely pure.\u003c/p\u003e\n\u003cp\u003eFigure 4 XRD profile of 1% Ni,S-doped TiO2 nano catalyst in the 2\u0026theta; range 10-80\u0026deg;. Figure 4 indicates the formation of crystalline titanium dioxide nanoparticles revealed by the XRD pattern of the 1% Ni,S-doped TiO2 nano catalyst recorded at the range of 2\u0026theta; at 10-80\u0026deg;. The peaks are identified by diffraction 2\u0026theta; values 25.3\u0026deg;, 37.8\u0026deg;, 48.0\u0026deg;, 54.0\u0026deg;, 55.1\u0026deg;, and 62.7\u0026deg; correspondingly to the (101), (004), (200), (105), (211), and (204) planes of anatase TiO2 and much closer to the standard TiO 2 diffraction data (JCPDS No. 21-1272). No extra peaks were observed at the pattern of diffusion related to nickel and sulfur compounds; this clearly demonstrates that dopant species are well dispersed throughout the TiO2 lattice. The minor decrease in the peak intensity and the extension in the diffraction lines indicate structural alteration with the addition of Ni and S. These findings confirms that synthesized catalyst retains the anatase crystalline form of TiO2 and has a nanoscale crystallite size.\u003c/p\u003e\n\u003cp\u003eCatalytic activity of 1% Ni,S-doped TiO2 heterogeneous nano catalyst was used in the preparation of 2-phenylbenzoxazole. The reaction between 2-aminophenol and benzaldehyde under condensation reaction was done to optimize the conditions of the reaction. The initial experiments showed that using 0.03 g of the nano catalyst, the solvent-free experiment gave the best results (Table 1, entry 9). As it can be observed in Table 1 entry 1, no reaction is achievable without the use of catalyst, which is why the nano catalyst is critical. As the quantity of catalyst is increased, the reaction rate gets high. The desired benzoxazole derivatives were effectively converted with the help of 0.03 g of catalyst. Additional quantity of catalyst did not produce a significant impact on the reaction time or the yield of the product. The effect of temperature was also examined and it was realized that the reaction rate increases with an increase in temperature, 70\u0026deg;C is the best temperature to use in the synthesis of benzoxazole derivatives by 2-aminophenol and benzaldehyde.\u003c/p\u003e\n\u003cp\u003e\u003cimg width=\"565\" height=\"89\" 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\" alt=\"image\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1.\u003c/strong\u003e Optimization study of the reaction conditions in the condensation of benzaldehyde with 2-aminophenol\u003c/p\u003e\n\u003cdiv\u003e\n \u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"519\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSr. No.\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCatalyst amount (g)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 210px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCondition\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTime (min)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eYield (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 210px;\"\u003e\n \u003cp\u003eH2O, reflux\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 210px;\"\u003e\n \u003cp\u003eEtOH, reflux\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e120\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 210px;\"\u003e\n \u003cp\u003eH2O, reflux\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e120\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 210px;\"\u003e\n \u003cp\u003eEtOH, reflux\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e60\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 210px;\"\u003e\n \u003cp\u003eEtOH:H2O(1;1), reflux\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 210px;\"\u003e\n \u003cp\u003eEtOAc, reflux\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e65\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 210px;\"\u003e\n \u003cp\u003e1% Ni-S doped TiO2, 50\u0026deg;C\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 210px;\"\u003e\n \u003cp\u003e1% Ni-S doped TiO2, 60\u0026deg;C\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e90\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e9\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.03\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 210px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e1% Ni-S doped TiO2, 70\u0026deg;C\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e60\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e92\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 210px;\"\u003e\n \u003cp\u003e1% Ni-S doped TiO2, 80\u0026deg;C\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e93\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 113px;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 210px;\"\u003e\n \u003cp\u003e1% Ni-S doped TiO2, RT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e120\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e75\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eTo determine the efficiency of the designed reaction, the optimized reaction condition was carried out by interacting a various substituted aromatic aldehydes, which possess different electron-withdrawing and electron-donating groups with the 2-aminophenol derivatives (Table 2). The outcome of the experiment has demonstrated that it is possible to perform the reaction successfully through the utilization of different aldehyde and 2-aminophenol.\u003c/p\u003e\n\u003cp\u003e\u003cimg width=\"636\" height=\"115\" 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\" alt=\"image\"\u003e\u003c/p\u003e\n\u003cp\u003eThe condensation of benzaldehyde with 2-aminophenol was investigated at 70\u0026deg;C under solvent free condition to test the reusability of catalyst. After the completion of each reaction catalyst was separated from the reaction mixture and the catalyst was washed with ethanol, dried at 60\u0026deg;C for one hour in a vacuum oven and then reused. The yields from five consecutive runs (90%, 88%, 86%, 85% and 81%) \u0026nbsp;show that the catalyst retains its activity for at least 5 reactions without reducing its catalytic efficiency (Figure 5).\u003c/p\u003e\n\u003cp\u003eThe catalytic activities of 1% Ni,S doped with TiO2 were compared to other catalysts for condensation of 2-aminophenol and benzaldehyde. As shown in Table 3, this system is superior compared with previously reported methods in terms of shorter reaction time, more effective product, lower catalyst loading and better environmental compatibility.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3:\u003c/strong\u003e A comparison of the efficiency of several catalysts in the production of 2-pheylbenzoxazole\u003c/p\u003e\n\u003cdiv\u003e\n \u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"536\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 64px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEntry\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 117px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCatalyst (amount)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eConditions\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTime (h)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 81px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eYield (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eRef.\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 64px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 117px;\"\u003e\n \u003cp\u003eTiCl₃\u0026middot;OTf (10 mol%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103px;\"\u003e\n \u003cp\u003eEtOH, r.t.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e2.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 81px;\"\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 92px;\"\u003e\n \u003cp\u003e[23]\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 64px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 117px;\"\u003e\n \u003cp\u003eCeCl₃ (15 mol%) + NaI (10 mol%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103px;\"\u003e\n \u003cp\u003eToluene, 100 \u0026deg;C\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 81px;\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 92px;\"\u003e\n \u003cp\u003e[24]\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 64px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 117px;\"\u003e\n \u003cp\u003eSm(OTf)₃ (10 mol%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103px;\"\u003e\n \u003cp\u003eEtOH:H₂O, 50\u0026ndash;60 \u0026deg;C\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 81px;\"\u003e\n \u003cp\u003e92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 92px;\"\u003e\n \u003cp\u003e[25]\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 64px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 117px;\"\u003e\n \u003cp\u003eDDQ (0.25 g)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103px;\"\u003e\n \u003cp\u003eCH₂Cl₂, r.t.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 81px;\"\u003e\n \u003cp\u003e93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 92px;\"\u003e\n \u003cp\u003e[26]\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 64px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 117px;\"\u003e\n \u003cp\u003eCuO-np/SiO₂ (10 mol%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103px;\"\u003e\n \u003cp\u003eMeOH, r.t.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 81px;\"\u003e\n \u003cp\u003e80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 92px;\"\u003e\n \u003cp\u003e[27]\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 64px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 117px;\"\u003e\n \u003cp\u003eHAuCl₄\u0026middot;4H₂O (2 mol%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103px;\"\u003e\n \u003cp\u003eTHF, 40 \u0026deg;C\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 81px;\"\u003e\n \u003cp\u003e96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 92px;\"\u003e\n \u003cp\u003e[28]\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 64px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 117px;\"\u003e\n \u003cp\u003e1%N,S doped with TiO2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103px;\"\u003e\n \u003cp\u003eNeat/ 70\u0026deg;C\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 81px;\"\u003e\n \u003cp\u003e92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 92px;\"\u003e\n \u003cp\u003ea\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003ea This work\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThe heterogeneous nano catalyst 1%Ni,S doped TiO2 was prepared by a simple procedure and was characterized by FT-IR, XRD, SEM and EDX. The nano catalyst showed good catalytic activity and high efficiency on the solvent free condensation of 2-aminophenol and its derivatives with various aromatic aldehydes to obtain products of 2-arylbenzoxazole derivatives. Compare to conventional catalytic systems, present reaction has several advantages, such as the reaction conditions are milder, it is green, the reaction doesn't require harsh reagents, the work-up is simple and the catalyst recycling can be performed easily via simple filtration. Moreover, the catalyst showed excellent stability during the prolonged reusability tests which also maintained the catalytic activity, therefore the Ni,S-doped TiO2 nanocatalyst can be considered as efficient and ecofriendly catalyst for the synthesis of benzoxazole derivatives. Hence, the 1%Ni,S doped with TiO2 nano catalyst is efficient and green catalyst in the synthesis of benzoxazole derivatives.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e \u003ch2\u003eConflicts of Interest\u003c/h2\u003e \u003cp\u003eThe authors declare no conflicts of interest.\u003c/p\u003e \u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eAuthor ContributionsA.P. carried out the experimental work, catalyst synthesis, characterization analysis, and manuscript writing.B.G. supervised the research work, reviewed the manuscript, and provided scientific guidance.S.S. assisted in data analysis, experimental validation, and manuscript editing.All authors reviewed and approved the final manuscript.\u003c/p\u003e\u003ch2\u003eAcknowledgements\u003c/h2\u003e \u003cp\u003eWe would like to acknowledge Dr. Leena Patil HOD Department of Chemistry Sandip University, School of Science for giving me possible support for this research publication. We acknowledge RAP Analytical Solution Lab for SEM, EDS, XRD, and FT-IR characterization support.. We would like to acknowledge central instrumentation facility (CIF)lab school of science Sandip University Nashik for providing necessary support.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eKumar A, Sharma S, Maurya RA (2014) Catalytic Synthesis of Benzoxazoles Using Metal Oxide Nanoparticles. Catal Commun 52:40\u0026ndash;45\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGogoi P, Konwar D (2006) An Efficient Synthesis of Benzoxazoles Using TiO₂ Nanoparticles. Tetrahedron Lett 47:79\u0026ndash;82\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePaul S, Clark JH (2003) Green Synthesis of Heterocycles Using Recyclable Catalysts. Green Chem 5:635\u0026ndash;638\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKidwai M, Bansal V (2007) Nanocrystalline Metal Oxides in Organic Transformations. Monatshefte Chem 138:1189\u0026ndash;1195\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSafari J, Gandomi-Ravandi S (2011) Silica-Supported Catalysts in Heterocycle Synthesis. J Mol Catal A: Chem 335:176\u0026ndash;181\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNarayan R, Nair KV (2010) Metal-Doped TiO₂ Nanoparticles as Efficient Heterogeneous Catalysts. Appl Catal A 381:120\u0026ndash;126\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLi H, Wang Y (2013) S-Doped TiO₂ Nanomaterials: Synthesis and Catalytic Applications. J Mater Chem A 1:432\u0026ndash;439\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChen D, Ray AK (2001) Removal of Organic Pollutants Using Doped TiO₂ Catalysts. Chem Eng Sci 56:1561\u0026ndash;1570\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTanaka K, Hisanaga M (1999) Photocatalytic Transformations Using TiO₂. Appl Catal B 20:151\u0026ndash;159\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAnpo M (1997) Use of Titanium Oxide Photocatalysts in Organic Synthesis. Catal Surv Asia 1:169\u0026ndash;179\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNosaka Y, Nosaka A (2017) Understanding TiO₂ Photocatalysis Mechanisms. Chem Rev 117:11302\u0026ndash;11336\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGupta S, Tripathi M (2012) Metal-Oxide Nanocatalysts for Green Organic Synthesis. Chin J Catal 33:1091\u0026ndash;1097\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKarimi B, Zareyee D (2008) Highly Efficient Nanocatalysts for Heterocycle Synthesis. Org Lett 10:3989\u0026ndash;3992\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eYadav J, Reddy B (2002) Solvent-Free Synthesis of Benzoxazole Derivatives. Synth Commun 32:2003\u0026ndash;2008\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSakthivel S, Kisch H (2003) Daylight Photocatalysis by Doped TiO₂. Angew Chem Int Ed 42:4908\u0026ndash;4911\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTeimouri A, Chermahini AN, Salavati H, Ghorbanian L (2013) Benzoxazole synthesis using heterogeneous catalyst systems. J Mol Catal A: Chem 373:38\u0026ndash;45\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMatsuzaka Y, Yashiro R (2023) Biological applications of heterocyclic compounds. Biologics 3:23\u0026ndash;39\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBaghernejad B, Hojati SM (2022) Green synthesis of benzoxazole derivatives using heterogeneous catalysts. 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J Enzyme Inhib Med Chem 32:850\u0026ndash;864\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAzizian J, Torabi P, Noei J (2016) Efficient synthesis of heterocyclic compounds. Tetrahedron Lett 57:185\u0026ndash;188\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZhu X, Wei Y (2012) Synthesis of benzoxazole derivatives under catalytic conditions. Heterocycl Commun 18:211\u0026ndash;214\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDatta A (2021) Catalytic synthesis of heterocyclic compounds using green methods. Orient J Chem 37:341\u0026ndash;347\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWijekoon S, Gunasekara C, Palliyaguru L, Fernando N, Jayaweera P, Kumarasinghe U (2022) Green synthesis of heterocyclic compounds using recyclable catalysts. Asian J Green Chem 6:297\u0026ndash;319\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eInamdar SM, More VK, Mandal SK (2013) Rapid synthesis of benzoxazole derivatives under catalytic conditions. Tetrahedron Lett 54:579\u0026ndash;583\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBaghernejad B, Hojati SM (2022) Green synthesis of benzoxazole derivatives using heterogeneous catalysts. Asian J Green Chem 6:194\u0026ndash;202\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"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":"Benzoxazole derivatives, Ni-S doped TiO₂, Heterogeneous nano catalyst, Green synthesis, Solvent-free reaction","lastPublishedDoi":"10.21203/rs.3.rs-8867604/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8867604/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eA heterogeneous nanocatalyst made from 1% Ni, S doped titanium dioxide (TiO2) was used in developing a green and efficient synthesis of benzoxazole derivatives via an environmentally sustainable and a solvent-free condensation reaction between 2-aminophenol and aromatic aldehydes. Characterization of the catalyst included FT-IR, XRD, SEM, and EDS analysis as well as determination of its catalytic activity. The catalyst showed good thermal stability and was able to be reused 5 times with minimal loss in activity. Overall, this new catalytic system represents a viable alternative for benzoxazole synthesis due to several advantages such as being environmentally compatible, low cost, easy to work with and reusable.\u003c/p\u003e","manuscriptTitle":"Design of a 1% Ni, S-Doped TiO₂ Heterogeneous Nano-catalyst for Catalytic Synthesis of Benzoxazole Derivatives","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-02-16 04:09:39","doi":"10.21203/rs.3.rs-8867604/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":"2581484d-f761-4b14-a5ad-19c56d2f95dd","owner":[],"postedDate":"February 16th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-04-16T12:42:13+00:00","versionOfRecord":[],"versionCreatedAt":"2026-02-16 04:09:39","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8867604","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8867604","identity":"rs-8867604","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}