compartive study of antiicrobial properties of gold nanoparticles

compartive study of antiicrobial properties of gold nanoparticles | 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 compartive study of antiicrobial properties of gold nanoparticles Santhosh Kumar Tumkur Narayanappa, hemalatha ms This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6807616/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 Introduction Gold nanoparticles are known for its antimicrobial and immune response eliciting properties. It has been using for centuries in prevention of infectious diseases by increasing the immunity of the host. Objective The role of antibacterial therapy is the gold standard in all the established guidelines for prevention, mitigation, treatment and control of the known bacterial species which are harmful to human health. In this study we determined the antibacterial effectiveness of high dose of amoxicillin/potassium clavulnate and Gold nanoparticles(AuNPs) sourced from different pharmaceutical companies. Methodology After obtaining the informed written consent from the subject, culture swabs were obtained from the Fournier’s gangrene. The collected sample is made to grow on blood agar and MacConkey agar in ambient temperature of 37 0 Celsius over 24 hours. The growth is observed and confirmed as Klebsiella pneumonia a Gram-negative, non-motile, encapsulated, lactose-fermenting, facultative anaerobic, rod-shaped bacterium. Appearing as a mucoid lactose fermenter on MacConkey agar. Klebsiella pneumonia is isolated and inoculated on Mueller-Hinton Agar. The agar well diffusion method is carried out with 4 wellcontaining AuNPs I , AuNPs II , amoxicillin/potassium clavulnate and blank respectively. The results are observed after 24 hours and 48 hours of inoculation. Results The Agar well diffusion method containing AuNPs I , AuNPs II , amoxicillin/potassium clavulnate and blank respectively after 24 hours showed higher Zone of Inhibition for amoxicillin/potassium clavulnate rather than AuNPs I & II and no Zone of inhibition around the blank well. The Zone of Inhibition observed after 48 hours of inoculation is 23 mm for amoxicillin/potassium clavulnate, 18 mm for AuNPs I and 15 mm for AuNPs II. No Zone of inhibition is observed around blank even after 48 hours. Discussion and Conclusion The rate of diffusion of Gold nanoparticles in the particular agar is not known and due to heavy metal of gold and its insolubility property in water makes it difficult for liquid preparation. The zone of inhibition(ZOI), minimum inhibition concentration(MIC) of the gold nanoparticles are not well established. The accuracy of the agar well diffusion method for evaluation of antimicrobial property of gold nanoparticles is not yet standardized. Keeping all these limitations of this study we present our data about antimicrobial activity of gold nanoparticles against Klebsiella pneumonia is minimum as compared to amoxicillin/potassium clavulnate. The further studies can be carried with functionalized AuNPs in the prevention of antimicrobial resistance. Food Science & Technology Gold nanoparticles(AuNPs) Agar well diffusion method Zone of inhibition(ZoI) amoxicillin/potassium clavulnate and Klebsiella pneumonia. 1. INTRODUCTION Antibiotic resistance is a major threat to global health. Resistant bacterial infections are currently resulting in over 1.2 million deaths every year1 and are projected to reach 10 million casualties annually by 2050. This crisis is due to the continuous emergence and spread of antibiotic-resistance genes across important human pathogens and the limited introduction of new, broad-acting, clinically useful antimicrobials since the 1970s2. Alongside genetic resistance, alternative bacterial lifestyles during infection, such as persistence3 and growth in biofilms4, also contribute to patient mortality due to ineffective antibiotic treatment. As such, it has become essential to not only boost our currently insufficient preclinical and clinical antimicrobial development pipelines5 but to also safeguard the longevity of our approved antibiotics. Both feats heavily rely on our ability to evaluate the efficacy of antimicrobial agents against bacteria, which underpins the identification of antibiotic-resistant strains in the clinic and enables testing of novel antibiotic or antibiotic-adjuvant candidates. A wide variety of medicinal products which originate from natural compounds and which are widely used to target and treat various appear diseases. The extraction of these complicated chemical molecules from plants, animals, microorganisms and minerals are common natural sources via several extraction processes, these compounds work as an initiator of future sinker molecules. Gold is inert and universally recognized as biocompatible. Until the recent past, it was only known as the metal. With the arrival of nanotechnology and the discovery of nanoparticles and the exploration of the physico-chemical properties of gold make it a supreme material for progress fields 6,7 . A nanoparticle is defined as a tiny particle with a size ranging between 1 and 100 nm. Agar well diffusion method is widely used to evaluate the antimicrobial activity of plants or microbial extracts 8,9 . Similarly to the procedure used in disk-diffusion method, the agar plate surface is inoculated by spreading a volume of the microbial inoculum over the entire agar surface. Then, a hole with a diameter of 6 to 8 mm is punched aseptically. Zone of inhibition (ZOI), also known as a zone of clearing or a halo assay, refers to the clear zone surrounding an antimicrobial agent. These ZOIs result from a complete absence of bacteria on, or within a confluent bacterial lawn.The antimicrobial activity of the agent is screened against a test organism which is used to create a confluent lawn of bacterial growth on an agar plate. The ZOI is measured in mm after 24 to 48 hours of incubation. A primary function of the immune system is to protect the host from pathogenic microbial infections. Innate immune mechanisms dominate during the early phase of the antimicrobial immune response . As the innate response sometimes does not clear the infecting microbe, T lymphocytes and neutralizing antibodies may often be required for its complete elimination. The innate response is nonetheless indispensable for host survival since it prevents such microbes from spreading in an uncontrolled manner and thereby provides the host with the “grace period” of 3–4 d required for the activation of an efficient adaptive immune response . 2. MATERIAL AND METHODS The amoxicillin/potassium clavulanate is obtained from Karnataka antibiotic and pharmaceuticals limited plot no 14, II Phase, Peenya, Bengaluru 560058. AuNPs I is obtained from Shree Dhootapapeshwar Limited,135, Nanubhai Desai Rd., Khetwadi, Mumbai – 400 004. AuNPs II is obtained from Nanoshel United kingdom through its subsaidiary located in Punjab, India. Composition of Blood Agar Blood agar, like most other nutritional media, has one or more protein sources, salt, and beef extract for vitamins and minerals. Besides these components, 5% defibrinated mammalian blood is also added to the medium. The blood agar base is commercially sold by various vendors, or it can also be prepared in the laboratory if the necessary ingredients are available. The exact composition of the blood agar base is given below: S.N Ingredients Gram/liter 1. Peptone 10.0 2. Tryptose 10.0 3. Sodium chloride 5.0 4. Agar 15.0 Final pH at 25°C: 7.3 ±0.2 Blood Agar and Hemolysis Hemolysis is the lysis of red blood cells in the blood due to the extracellular enzymes produced by certain bacterial species. The extracellular enzymes produced by these bacteria are called hemolysins which radially diffuse outwards from the colonies, causing complete or partial lysis of the red blood cells. Four different types of hemolysis are observed on blood agar which can each be identified by a zone of hemolysis present around the growing colonies. 1. Alpha hemolysis Alpha hemolysis is defined by a greenish-grey or brownish discoloration around the colony as a result of the partial lysis of the red blood cells. During α-hemolysis, H 2 O 2 produced by the bacteria causes hemoglobin present in the RBC of the medium is converted into methemoglobin. Some of the α-hemolytic species are a part of the human normal flora, but some species like Streptococcus pneumonia cause pneumonia and other such severe infections. 2. Beta hemolysis Beta hemolysis is defined by a clear zone of hemolysis under and around the colonies when grown on blood agar. The clear zone appears as a result of the complete lysis of the red blood cells present in the medium, causing denaturation of hemoglobin to form colorless products. β-hemolytic bacteria include group A streptococci like S. pyogenes and group B streptococcus like S. agalactiae , both of which are associated with severe infections in humans. 3. Gamma hemolysis Gamma hemolysis is also called non-hemolysis as no lysis of red blood cells occurs. As a result, no change of coloration or no zone of hemolysis is observed under or around the colonies. Species like Neisseria meningiditis are non-hemolytic or gamma-hemolytic. 4. Alpha prime or wide zone alpha hemolysis Alpha prime hemolysis is defined by a small zone of intact erythrocytes adjacent to the bacterial colony, with a zone of complete lysis of RBCs surrounding the zone of intact erythrocytes. This might be confused with β-hemolysis due to the appearance of a clear zone around the colonies. Principle of Kirby Bauer Disc Diffusion Method The organism to be tested must be incubated overnight in broth and must be compared with the 0.5 McFarland Turbidity standard. Mueller- Hinton agar must be used as it does not inhibit sulphonamides and ensures reproducibility and with composition and PH of the medium. The agar when poured on Petri dishes should be 4mm. Materials Required Mueller- Hinton agar Antibiotic discs Cotton swabs Petri dishes 0.5 McFarland Turbidity standard Inoculum Forceps Metric ruler or caliper After obtaining the informed written consent from the subject, culture swabs were obtained from the Fournier’s gangrene. The collected sample is made to grow on blood agar and MacConkey agar in ambient temperature of 37 0 Celsius over 24 hours. The growth is observed and confirmed as Klebsiella pneumonia a Gram-negative, non-motile, encapsulated, lactose-fermenting, facultative anaerobic, rod-shaped bacterium. Appearing as a mucoid lactose fermenter on MacConkey agar. Klebsiella pneumonia is isolated and inoculated on Mueller-Hinton Agar. The agar well diffusion method is carried out with 4 well containing AuNPs I , AuNPs II , amoxicillin/potassium clavulnate and blank respectively. The results are observed after 24 hours and 48 hours of inoculation. 3. RESULTS The Agar well diffusion method containing AuNPs I , AuNPs II , amoxicillin/potassium clavulnate and blank respectively after 24 hours showed higher Zone of Inhibition for amoxicillin/potassium clavulnate rather than AuNPs I & II and no Zone of inhibition around the blank well. The Zone of Inhibition observed after 48 hours of inoculation is 23 mm for amoxicillin/potassium clavulnate, 18 mm for AuNPs I and 15 mm for AuNPs II. No Zone of inhibition is observed around blank even after 48 hours. Initial adding of drugs to agar well with Klebsiella pneumonia on the Mueller-Hinton Agar. Obseravtion after 24 hours of inoculation Observation after 48 hours inoculation 4. DISCUSSION Antibiotic intervention is an effective treatment strategy for many bacterial infections and liberates bacterial antigens and stimulatory products that can induce an inflammatory response. Despite the opportunity for bacterial killing to enhance the development of adaptive immunity, patients treated successfully with antibiotics can suffer from reinfection. Since the discovery of penicillin in 1928, antibiotics have been widely used to treat bacterial infections, and as a result, bacteria have rapidly developed antibiotic resistance (1, 2). The development of multidrug-resistant (MDR) bacteria is now a critical issue in modern medicine, with the concern that serious bacterial infections will reemerge in the 21st century in the absence of effective treatment options (3–6). Despite this important issue, antibiotics remain an effective treatment option for many common infectious diseases. An adaptive immune response to infection is initiated by recognition of foreign protein antigens in the presence of local inflammation (7). The contextual inflammatory cues come from innate immune cells that encounter bacterial products, and these signals profoundly affect the subsequent adaptive immune response (8). This initial activation stage occurs within local lymph nodes and causes low-frequency naive T cells and B cells to produce an army of effector cells to eradicate a complex pathogen (9, 10). Effective antibiotic therapy will kill a large number of bacteria, thus liberating antigen for lymphocyte recognition and releasing bacterial products that can amplify local inflammatory responses. Thus, antibiotics have a direct effect on bacterial growth but also have the potential to enhance an ongoing pathogen-specific adaptive immune response. However, many studies have shown that antibiotic administration can paradoxically weaken immune memory, leaving a recovered host fully susceptible to reinfection with the same pathogen (11–13). The mechanistic basis for this detrimental effect of antibiotics on immune memory and protection is incompletely understood. A more detailed understanding of this phenomenon might allow the development of targeted strategies to encourage immune memory development and support long-lasting protection from reinfection. 5. CONCLUSION The gold nanoparticles act internally by increasing the host defence rather than the lysis of the cell as an antimicrobial. Declarations Human Ethics Committee The Organism isolated in this study was obtained from a patient, as informed written consent was obtained and the nature of the study doesn’t raise any ethical issues. Ethics clearance was formally waived by Rincy Foundation Human Ethics Committee References Antimicrobial Resistance Collaborators (2022) Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Lancet 399:629–655 Iskandar K et al (2022) Antibiotic discovery and resistance: the chase and the race. Antibiotics. https://doi.org/10.3390/antibiotics11020182 Ronneau S, Hill PWS, &Helaine S (2021) Antibiotic persistence and tolerance: not just one and the same. Curr Opin Microbiol 64:76–81 Mah TF, O’Toole GA (2001) Mechanisms of biofilm resistance to antimicrobial agents. Trends Microbiol 9:34–39 Word Health Organization 2021 Antibacterial agents in clinical and preclinical development: an overview and analysis . https://www.who.int/publications/i/item/9789240047655 (2021) Kalimuthu K, Cha BS, Kim S, Park KSJMJ (2020) Eco-friendly synthesis and biomedical applications of gold nanoparticles: a review. 152:104296 Meena A, Gupta R, Ahuja AK, Panda (2020) BhaskarInorganic particles for delivering natural productsSustainable. Agric Rev 44:205–241 Magaldi S, Mata-Essayag S, Hartung de Capriles C (2004) Well diffusion for antifungal susceptibility testing. Int J Infect Dis 8:39–45. 10.1016/j.ijid.2003.03.002 Valgas C, De Souza SM, Smânia (2007) E.F.A. Screening methods to determine antibacterial activity of natural products. Braz J Microbiol 38:369–380 Aminov RI (2010) A brief history of the antibiotic era: lessons learned and challenges for the future. Front Microbiol 1:134. 10.3389/fmicb.2010.00134 Abraham EP, Chain E (1988) An enzyme from bacteria able to destroy penicillin. 1940. Rev Infect Dis 10:677–678 Bigger JW (1944) Treatment of staphylococcal infections with penicillin by intermittent sterilisation. Lancet 244:497–500. 10.1016/S0140-6736(00)74210-3 Ikram R, Psutka R, Carter A, Priest P (2015) An outbreak of multi-drug resistant Escherichia coli urinary tract infection in an elderly population: a case-control study of risk factors. BMC Infect Dis 15:224. 10.1186/s12879-015-0974-0 Schrag SJ, McGee L, Whitney CG, Beall B, Craig AS, Choate ME, Jorgensen JH, Facklam RR, Klugman KP, Active Bacterial Core Surveillance Team (2004) Emergence of Streptococcus pneumoniae with very-high-level resistance to penicillin. Antimicrob Agents Chemother 48:3016–3023. 10.1128/AAC.48.8.3016-3023.2004 Nathan C (2004) Antibiotics at the crossroads. Nature 431:899–902. 10.1038/431899a Jenkins MK, Khoruts A, Ingulli E, Mueller DL, McSorley SJ, Reinhardt RL, Itano A, Pape KA (2001) In vivo activation of antigen-specific CD4 T cells. Annu Rev Immunol 19:23–45. 10.1146/annurev.immunol.19.1.23 Iwasaki A, Medzhitov R (2015) Control of adaptive immunity by the innate immune system. Nat Immunol 16:343–353. 10.1038/ni.3123 Jenkins MK, Moon JJ (2012) The role of naive T cell precursor frequency and recruitment in dictating immune response magnitude. J Immunol 188:4135–4140. 10.4049/jimmunol.1102661 McSorley SJ (2014) Immunity to intestinal pathogens: lessons learned from Salmonella. Immunol Rev 260:168–182. 10.1111/imr.12184 Verver S, Warren RM, Beyers N, Richardson M, van der Spuy GD, Borgdorff MW, Enarson DA, Behr MA, van Helden PD (2005) Rate of reinfection tuberculosis after successful treatment is higher than rate of new tuberculosis. Am J RespirCrit Care Med 171:1430–1435. 10.1164/rccm.200409-1200OC Brunham RC, Rekart ML (2008) The arrested immunity hypothesis and the epidemiology of chlamydia control. Sex Transm Dis 35:53–54. 10.1097/OLQ.0b013e31815e41a3 Crump JA, Sjölund-Karlsson M, Gordon MA, Parry CM (2015) Epidemiology, clinical presentation, laboratory diagnosis, antimicrobial resistance, and antimicrobial management of invasive Salmonella infections. ClinMicrobiol Rev 28:901–937. 10.1128/CMR.00002-15 Additional Declarations The authors declare no competing interests. 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. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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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-6807616","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":465650958,"identity":"dd7f4405-88ed-4077-a2a7-e3f7e66ea79a","order_by":0,"name":"Santhosh Kumar Tumkur Narayanappa","email":"data:image/png;base64,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","orcid":"","institution":"","correspondingAuthor":true,"prefix":"","firstName":"Santhosh","middleName":"Kumar Tumkur","lastName":"Narayanappa","suffix":""},{"id":465650959,"identity":"a37415d0-d7db-4c9c-9ca6-d33f73709c67","order_by":1,"name":"hemalatha ms","email":"","orcid":"","institution":"ksou","correspondingAuthor":false,"prefix":"","firstName":"hemalatha","middleName":"","lastName":"ms","suffix":""}],"badges":[],"createdAt":"2025-06-03 06:31:33","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-6807616/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6807616/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":83978646,"identity":"ac64141e-c235-405a-a1ee-1074a0ed8f7e","added_by":"auto","created_at":"2025-06-05 09:35:42","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":477419,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6807616/v1/1612d327-09b6-4a90-9a0a-fdd7c5ca2c93.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003ecompartive study of antiicrobial properties of gold nanoparticles\u003c/p\u003e","fulltext":[{"header":"1. INTRODUCTION","content":"\u003cp\u003eAntibiotic resistance is a major threat to global health. Resistant bacterial infections are currently resulting in over 1.2\u0026nbsp;million deaths every year1 and are projected to reach 10\u0026nbsp;million casualties annually by 2050. This crisis is due to the continuous emergence and spread of antibiotic-resistance genes across important human pathogens and the limited introduction of new, broad-acting, clinically useful antimicrobials since the 1970s2. Alongside genetic resistance, alternative bacterial lifestyles during infection, such as persistence3 and growth in biofilms4, also contribute to patient mortality due to ineffective antibiotic treatment. As such, it has become essential to not only boost our currently insufficient preclinical and clinical antimicrobial development pipelines5 but to also safeguard the longevity of our approved antibiotics. Both feats heavily rely on our ability to evaluate the efficacy of antimicrobial agents against bacteria, which underpins the identification of antibiotic-resistant strains in the clinic and enables testing of novel antibiotic or antibiotic-adjuvant candidates.\u003c/p\u003e \u003cp\u003eA wide variety of medicinal products which originate from natural compounds and which are widely used to target and treat various appear diseases. The extraction of these complicated chemical molecules from plants, animals, microorganisms and minerals are common natural sources via several extraction processes, these compounds work as an initiator of future sinker molecules. Gold is inert and universally recognized as biocompatible. Until the recent past, it was only known as the metal. With the arrival of nanotechnology and the discovery of nanoparticles and the exploration of the physico-chemical properties of gold make it a supreme material for progress fields\u003csup\u003e6,7\u003c/sup\u003e. A nanoparticle is defined as a tiny particle with a size ranging between 1 and 100 nm.\u003c/p\u003e \u003cp\u003eAgar well diffusion method is widely used to evaluate the antimicrobial activity of plants or microbial extracts \u003csup\u003e8,9\u003c/sup\u003e. Similarly to the procedure used in disk-diffusion method, the agar plate surface is inoculated by spreading a volume of the microbial inoculum over the entire agar surface. Then, a hole with a diameter of 6 to 8 mm is punched aseptically.\u003c/p\u003e \u003cp\u003eZone of inhibition (ZOI), also known as a zone of clearing or a halo assay, refers to the clear zone surrounding an antimicrobial agent. These ZOIs result from a complete absence of bacteria on, or within a confluent bacterial lawn.The antimicrobial activity of the agent is screened against a test organism which is used to create a confluent lawn of bacterial growth on an agar plate. The ZOI is measured in mm after 24 to 48 hours of incubation.\u003c/p\u003e \u003cp\u003eA primary function of the \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eimmune system\u003c/span\u003e is to protect the host from pathogenic microbial infections. Innate immune mechanisms dominate during the early phase of the \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eantimicrobial immune response\u003c/span\u003e. As the innate response sometimes does not clear the infecting microbe, T lymphocytes and \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eneutralizing antibodies\u003c/span\u003e may often be required for its complete elimination. The innate response is nonetheless indispensable for host survival since it prevents such microbes from spreading in an uncontrolled manner and thereby provides the host with the \u0026ldquo;grace period\u0026rdquo; of 3\u0026ndash;4 d required for the activation of an efficient \u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eadaptive immune response\u003c/span\u003e.\u003c/p\u003e"},{"header":"2. MATERIAL AND METHODS","content":"\u003cp\u003eThe amoxicillin/potassium clavulanate is obtained from Karnataka antibiotic and pharmaceuticals limited plot no 14, II Phase, Peenya, Bengaluru 560058. AuNPs I is obtained from Shree Dhootapapeshwar Limited,135, Nanubhai Desai Rd., Khetwadi, Mumbai \u0026ndash; 400 004. AuNPs II is obtained from Nanoshel United kingdom through its subsaidiary located in Punjab, India.\u003c/p\u003e\n\u003ch2\u003eComposition of Blood Agar\u003c/strong\u003e\u003c/h2\u003e\n\u003cp\u003eBlood agar, like most other nutritional media, has one or more protein sources, salt, and beef extract for vitamins and minerals. Besides these components, 5% defibrinated mammalian blood is also added to the medium. The blood agar base is commercially sold by various vendors, or it can also be prepared in the laboratory if the necessary ingredients are available. The exact composition of the blood agar base is given below:\u003c/p\u003e\n\u003ctable border=\"1\" cellpadding=\"0\" width=\"439\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 44px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eS.N\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 217px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eIngredients\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 127px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGram/liter\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 44px;\"\u003e\n \u003cp\u003e1.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 217px;\"\u003e\n \u003cp\u003ePeptone\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 127px;\"\u003e\n \u003cp\u003e10.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 44px;\"\u003e\n \u003cp\u003e2.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 217px;\"\u003e\n \u003cp\u003eTryptose\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 127px;\"\u003e\n \u003cp\u003e10.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 44px;\"\u003e\n \u003cp\u003e3.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 217px;\"\u003e\n \u003cp\u003eSodium chloride\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 127px;\"\u003e\n \u003cp\u003e5.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 44px;\"\u003e\n \u003cp\u003e4.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 217px;\"\u003e\n \u003cp\u003eAgar\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 127px;\"\u003e\n \u003cp\u003e15.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" style=\"width: 421px;\"\u003e\n \u003cp\u003eFinal pH at 25\u0026deg;C: 7.3 \u0026plusmn;0.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eBlood Agar and Hemolysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eHemolysis is the lysis of red blood cells in the blood due to the extracellular enzymes produced by certain bacterial species. The extracellular enzymes produced by these bacteria are called hemolysins which radially diffuse outwards from the colonies, causing complete or partial lysis of the red blood cells. Four different types of hemolysis are observed on blood agar which can each be identified by a zone of hemolysis present around the growing colonies.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e1. Alpha hemolysis\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003eAlpha hemolysis is defined by a greenish-grey or brownish discoloration around the colony as a result of the partial lysis of the red blood cells.\u003c/li\u003e\n \u003cli\u003eDuring \u0026alpha;-hemolysis, H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e produced by the bacteria causes hemoglobin present in the RBC of the medium is converted into methemoglobin.\u003c/li\u003e\n \u003cli\u003eSome of the \u0026alpha;-hemolytic species are a part of the human normal flora, but some species like \u003cem\u003eStreptococcus pneumonia\u003c/em\u003e cause pneumonia and other such severe infections.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003e2. Beta hemolysis\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003eBeta hemolysis is defined by a clear zone of hemolysis under and around the colonies when grown on blood agar.\u003c/li\u003e\n \u003cli\u003eThe clear zone appears as a result of the complete lysis of the red blood cells present in the medium, causing denaturation of hemoglobin to form colorless products.\u003c/li\u003e\n \u003cli\u003e\u0026beta;-hemolytic bacteria include group A streptococci like \u003cem\u003eS. pyogenes\u003c/em\u003e and group B streptococcus like \u003cem\u003eS. agalactiae\u003c/em\u003e, both of which are associated with severe infections in humans.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003e3. Gamma hemolysis\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003eGamma hemolysis is also called non-hemolysis as no lysis of red blood cells occurs.\u003c/li\u003e\n \u003cli\u003eAs a result, no change of coloration or no zone of hemolysis is observed under or around the colonies.\u003c/li\u003e\n \u003cli\u003eSpecies like \u003cem\u003eNeisseria meningiditis\u003c/em\u003e are non-hemolytic or gamma-hemolytic.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003e4. Alpha prime or wide zone alpha hemolysis\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003eAlpha prime hemolysis is defined by a small zone of intact erythrocytes adjacent to the bacterial colony, with a zone of complete lysis of RBCs surrounding the zone of intact erythrocytes.\u003c/li\u003e\n \u003cli\u003eThis might be confused with \u0026beta;-hemolysis due to the appearance of a clear zone around the colonies.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch2\u003ePrinciple of Kirby Bauer Disc Diffusion Method\u003c/h2\u003e\n\u003cp\u003eThe organism to be tested must be incubated overnight in broth and must be compared with the 0.5 McFarland Turbidity standard. Mueller- Hinton agar must be used as it does not inhibit sulphonamides and ensures reproducibility and with composition and PH of the medium. The agar when poured on Petri dishes should be 4mm.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMaterials Required\u003c/strong\u003e\u003c/p\u003e\n\u003cul class=\"decimal_type\"\u003e\n \u003cli\u003eMueller- Hinton agar\u003c/li\u003e\n \u003cli\u003eAntibiotic discs\u003c/li\u003e\n \u003cli\u003eCotton swabs\u003c/li\u003e\n \u003cli\u003ePetri dishes\u003c/li\u003e\n \u003cli\u003e0.5 McFarland Turbidity standard\u003c/li\u003e\n \u003cli\u003eInoculum\u003c/li\u003e\n \u003cli\u003eForceps\u003c/li\u003e\n \u003cli\u003eMetric ruler or caliper\u003c/li\u003e\n \u003cli\u003eAfter obtaining the informed written consent from the subject, culture swabs were obtained from the Fournier\u0026rsquo;s gangrene. The collected sample is made to grow on blood agar and MacConkey agar in ambient temperature of 37\u003csup\u003e0\u0026nbsp;\u003c/sup\u003eCelsius over 24 hours. The growth is observed and confirmed as \u003cem\u003eKlebsiella pneumonia\u003c/em\u003e a \u0026nbsp;Gram-negative, non-motile, encapsulated, lactose-fermenting, facultative anaerobic, rod-shaped bacterium. Appearing as a mucoid lactose fermenter on MacConkey agar.\u003cem\u003eKlebsiella pneumonia\u003c/em\u003e is isolated and inoculated on Mueller-Hinton Agar. The agar well diffusion method is carried out with 4 well containing \u0026nbsp;AuNPs I , AuNPs II , amoxicillin/potassium clavulnate and blank respectively. The results are observed after 24 hours and 48 hours of inoculation.\u003c/li\u003e\n\u003c/ul\u003e"},{"header":"3. RESULTS","content":"\u003cp\u003eThe Agar well diffusion method containing AuNPs I , AuNPs II , amoxicillin/potassium clavulnate and blank respectively after 24 hours showed higher Zone of Inhibition for amoxicillin/potassium clavulnate rather than AuNPs I \u0026amp; II and no Zone of inhibition around the blank well. The Zone of Inhibition observed after 48 hours of inoculation is 23 mm for \u0026nbsp; \u0026nbsp;amoxicillin/potassium clavulnate, 18 mm for AuNPs I and 15 mm for AuNPs II. No Zone of inhibition is observed around blank even after 48 hours.\u003c/p\u003e\n\u003col\u003e\n \u003cli\u003eInitial adding of drugs to agar well with \u003cem\u003eKlebsiella pneumonia\u003c/em\u003e on the Mueller-Hinton Agar.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u003cimg width=\"406\" height=\"524\" 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\" alt=\"image\"\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003col start=\"2\"\u003e\n \u003cli\u003eObseravtion after 24 hours of inoculation\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u003cimg width=\"602\" height=\"803\" 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\" alt=\"image\"\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003col start=\"3\"\u003e\n \u003cli\u003eObservation after 48 hours inoculation\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cimg width=\"602\" height=\"451\" 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\" alt=\"image\"\u003e\u003c/p\u003e"},{"header":"4. DISCUSSION","content":"\u003cp\u003eAntibiotic intervention is an effective treatment strategy for many bacterial infections and liberates bacterial antigens and stimulatory products that can induce an inflammatory response. Despite the opportunity for bacterial killing to enhance the development of adaptive immunity, patients treated successfully with antibiotics can suffer from reinfection.\u003c/p\u003e\n\u003cp\u003eSince the discovery of penicillin in 1928, antibiotics have been widely used to treat bacterial infections, and as a result, bacteria have rapidly developed antibiotic resistance (1,\u0026nbsp;2). The development of multidrug-resistant (MDR) bacteria is now a critical issue in modern medicine, with the concern that serious bacterial infections will reemerge in the 21st century in the absence of effective treatment options (3\u0026ndash;6). Despite this important issue, antibiotics remain an effective treatment option for many common infectious diseases.\u003c/p\u003e\n\u003cp\u003eAn adaptive immune response to infection is initiated by recognition of foreign protein antigens in the presence of local inflammation (7). The contextual inflammatory cues come from innate immune cells that encounter bacterial products, and these signals profoundly affect the subsequent adaptive immune response (8). This initial activation stage occurs within local lymph nodes and causes low-frequency naive T cells and B cells to produce an army of effector cells to eradicate a complex pathogen (9, 10). Effective antibiotic therapy will kill a large number of bacteria, thus liberating antigen for lymphocyte recognition and releasing bacterial products that can amplify local inflammatory responses. Thus, antibiotics have a direct effect on bacterial growth but also have the potential to enhance an ongoing pathogen-specific adaptive immune response. However, many studies have shown that antibiotic administration can paradoxically weaken immune memory, leaving a recovered host fully susceptible to reinfection with the same pathogen (11\u0026ndash;13). The mechanistic basis for this detrimental effect of antibiotics on immune memory and protection is incompletely understood. A more detailed understanding of this phenomenon might allow the development of targeted strategies to encourage immune memory development and support long-lasting protection from reinfection.\u003c/p\u003e"},{"header":"5. CONCLUSION","content":"\u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eThe gold nanoparticles act internally by increasing the host defence rather than the lysis of the cell as an antimicrobial.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eHuman Ethics Committee The Organism isolated in this study was obtained from a patient, as informed written consent was obtained and the nature of the study doesn\u0026rsquo;t raise any ethical issues. Ethics clearance was formally waived by Rincy Foundation Human Ethics Committee\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAntimicrobial Resistance Collaborators (2022) Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Lancet 399:629\u0026ndash;655\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eIskandar K et al (2022) Antibiotic discovery and resistance: the chase and the race. 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ClinMicrobiol Rev 28:901\u0026ndash;937. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1128/CMR.00002-15\u003c/span\u003e\u003cspan address=\"10.1128/CMR.00002-15\" 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":true,"hideJournal":true,"highlight":"","institution":"RIncy Foundation","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":"Gold nanoparticles(AuNPs), Agar well diffusion method, Zone of inhibition(ZoI), amoxicillin/potassium clavulnate and Klebsiella pneumonia.","lastPublishedDoi":"10.21203/rs.3.rs-6807616/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6807616/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIntroduction\u003c/p\u003e\n\u003cp\u003eGold nanoparticles are known for its antimicrobial and immune response eliciting properties. It has been using for centuries in prevention of infectious diseases by increasing the immunity of the host.\u003c/p\u003e\n\u003cp\u003eObjective\u003c/p\u003e\n\u003cp\u003eThe role of antibacterial therapy is the gold standard in all the established guidelines for prevention, mitigation, treatment and control of the known bacterial species which are harmful to human health. In this study we determined the antibacterial effectiveness of high dose of amoxicillin/potassium clavulnate and Gold nanoparticles(AuNPs) sourced from different pharmaceutical companies.\u003c/p\u003e\n\u003cp\u003eMethodology\u003c/p\u003e\n\u003cp\u003eAfter obtaining the informed written consent from the subject, culture swabs were obtained from the Fournier’s gangrene. The collected sample is made to grow on blood agar and MacConkey agar in ambient temperature of 37\u003csup\u003e0 \u003c/sup\u003eCelsius over 24 hours. The growth is observed and confirmed as \u003cem\u003eKlebsiella pneumonia\u003c/em\u003e a \u0026nbsp;Gram-negative, non-motile,\u0026nbsp;encapsulated,\u0026nbsp;lactose-fermenting,\u0026nbsp;facultative anaerobic, rod-shaped\u0026nbsp;bacterium. Appearing as a mucoid lactose fermenter on\u0026nbsp;MacConkey agar.\u003cem\u003eKlebsiella pneumonia\u003c/em\u003e is isolated and inoculated on Mueller-Hinton Agar. The agar well diffusion method is carried out with 4 wellcontaining\u0026nbsp; AuNPs I , AuNPs II , amoxicillin/potassium clavulnate and blank respectively. The results are observed after 24 hours and 48 hours of inoculation.\u003c/p\u003e\n\u003cp\u003eResults\u003c/p\u003e\n\u003cp\u003eThe Agar well diffusion method containing AuNPs I , AuNPs II , amoxicillin/potassium clavulnate and blank respectively after 24 hours showed higher Zone of Inhibition for amoxicillin/potassium clavulnate rather than AuNPs I \u0026amp; II and no Zone of inhibition around the blank well. The Zone of Inhibition observed after 48 hours of inoculation is 23 mm for\u0026nbsp; amoxicillin/potassium clavulnate, 18 mm for AuNPs I and 15 mm for AuNPs II. No Zone of inhibition is observed around blank even after 48 hours.\u003c/p\u003e\n\u003cp\u003eDiscussion and Conclusion\u003c/p\u003e\n\u003cp\u003eThe rate of diffusion of Gold nanoparticles in the particular agar is not known and due to heavy metal of gold and its insolubility property in water makes it difficult for liquid preparation. The zone of inhibition(ZOI), minimum inhibition concentration(MIC) of the gold nanoparticles are not well established. The accuracy of the agar well diffusion method for evaluation of antimicrobial property of gold nanoparticles is not yet standardized. Keeping all these limitations of this study we present our data about antimicrobial activity of gold nanoparticles against \u003cem\u003eKlebsiella pneumonia\u003c/em\u003eis minimum as compared to amoxicillin/potassium clavulnate. The further studies can be carried with functionalized AuNPs in the prevention of antimicrobial resistance.\u003c/p\u003e","manuscriptTitle":"compartive study of antiicrobial properties of gold nanoparticles","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-06-05 09:27:33","doi":"10.21203/rs.3.rs-6807616/v1","editorialEvents":[{"type":"communityComments","content":1}],"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":"2d910e09-dc77-4aff-934a-a88bd5351763","owner":[],"postedDate":"June 5th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":49432094,"name":"Food Science \u0026 Technology"}],"tags":[],"updatedAt":"2025-06-05T09:27:34+00:00","versionOfRecord":[],"versionCreatedAt":"2025-06-05 09:27:33","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6807616","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6807616","identity":"rs-6807616","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}