Preliminary evaluation of the anti-Candida antibiofilm and phytochemical potential of Graphis ceylanica Zahlbr

Preliminary evaluation of the anti-Candida antibiofilm and phytochemical potential of Graphis ceylanica Zahlbr | 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 Preliminary evaluation of the anti- Candida antibiofilm and phytochemical potential of Graphis ceylanica Zahlbr Biprajeet Dey, Debapiya Das, Vedant Vikrom Borah This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8857810/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 Graphis ceylanica Zahlbr., a script lichen, was screened for its antioxidant, TLC profile and antibiofilm potentials. The methanol fraction (MF) and hexane fraction (HF) from an acetone extract were screened for DPPH scavenging, phosphomolybdate total antioxidant capacity (TAC), total phenolic content (TPC), and total flavonoid content (TFC), along with antibiofilm assays against Candida albicans and C. tropicalis . MF displayed higher antioxidant activity than HF, with TAC (A695 = 1.382 ± 0.02), TPC (= 87.81 ± 1.5 mg GAE/g), and TFC (= 5.63 ± 0.29 mg QE/g), thus confirming phenolic enrichment of the methanol fractions reported in other Graphis species. TLC profiling revealed multiple UV-active bands consistent with depsides, depsidones, and aromatic metabolites characteristic of Graphidaceae. Both fractions exhibited promising DPPH scavenging activity, with 46.51% for MF and 40.47% for HF. Most importantly, strong antibiofilm effects against both Candida strains were evident, with HF at 3–5 mg mL − 1 and MF at 50–100 mg mL − 1 , inhibiting > 75–95% of biofilm formation. Therefore, the current study highlights G. ceylanica as a chemically diverse and bioactive lichen, presenting the first baseline evidence of its antioxidant and antibiofilm properties. Applied & Industrial Microbiology Clinical Pharmacology TLC profile antibiofilm Candida species Graphis lichens Figures Figure 1 Introduction Lichens have been recognized for their ethnopharmacological use in treating infections, respiratory and digestive conditions, wounds, and inflammatory disorders (Crawford, 2015 ). Systems such as Ayurveda, Siddha, and European folk medicine mention the use of several well-known species of lichen. Graphis ceylanica Zahlbr. is a relatively understudied lichen from the family Graphidaceae, Ascomycota, and has not been reported for its medicinal or homeopathic properties. There are no validated uses or preparations for this species, and scientific research is equally scarce. Pharmacological, antimicrobial, antioxidant, or metabolite studies have not been published to date, and its chemical profile remains entirely uncharacterized. Belonging to the Genus Graphis , commonly grouped as ‘script’ lichen, G. ceylanica may contain bioactives that have been reported for this genus (Nayaka et al., 2010 ). Congeners such as G. nakanishiana and G. schizograpta contain moderate levels of phenolic bioactives, typically classified as depsides and depsidones, with reported antimicrobial, antioxidant, and enzyme-inhibitory activities. In addition, Graphis depsidones, such as norsticitic, stictic, and protocetraric acids, have shown notable antifungal activities (España-Puccini et al., 2025 ). Similar research gaps exist for the antioxidant and radical-scavenging activities of G. ceylanica , while other members of the family display significant activity. To the best of our knowledge, this study is the first to report the biological activity of Graphis ceylanica , including its anti- Candida biofilm and antioxidant potential. It is a compelling candidate for initial screening as one of the least studied lichens. The present study provides essential baseline data for future pharmacological investigations and offers insights into the underexplored tropical lichen diversity. Materials and Methods Extract preparation The lichen sample was collected from the bark of tea plants in Tapesia, Guwahati, Assam, India. This ‘script ’ lichen was taxonomically identified as Graphis ceylanica Zahlbr. by the ICFRE-Bamboo and Rattan Center, Aizawl. The samples were then washed with distilled water and dried in a hot air oven. The dried samples were ground using a mortar and pestle, mixed with acetone at a w/v ratio of 1:15, and macerated for 16 h. After mixing, the acetone extract was filtered through a Buchner funnel, mixed with an equal volume of hexane, and stirred with a magnetic stirrer for an hour. The mixture was allowed to stand until a clear separation between the solutions occurred. The hexane fraction (HF) was pooled into a sterilized pre-weighed beaker and evaporated; the remaining solution was mixed with an equal volume of 1:2 methanol:water and processed in the same manner to obtain the methanol fraction (MF). The yield of the extracts was measured using the following formula: [W a is the weight of the empty beaker and W b is the weight of the beaker and dried extracts]. The dried samples were stored at 4°C until further analysis. Antioxidant activity Antioxidant activity was measured by mixing the solvent fractions with freshly prepared 0.12 mM DPPH and recording the decrease in absorbance at 570 nm after 30 min of incubation in the dark (Aoussar et al., 2020 ). The concentrations of the fractions tested were HF: 5 mg mL − 1 and MF: 100 mg mL − 1 . The percentage of DPPH radical scavenging was calculated as follows: Total antioxidant capacity (TAC) was measured by reacting 0.3 mL of each extract with the phosphomolybdate reagent and incubating the mixture at 90°C for 90 min. Absorbance was recorded at 695 nm against a methanol blank. Determination of total phenolic and flavonoid contents The TPC of the extracts was determined using the Folin-Ciocalteu method with minor modifications. For the assay, 200 µL of each solvent fraction was diluted with distilled water to a final volume of 800 µL, followed by the addition of 300 µL of Folin-Ciocalteu reagent. After 10 min at room temperature, 1 mL of 20% sodium carbonate solution was added and incubated in the dark for 60 min before measuring the absorbance at 650 nm. A modified method was used to quantify the TFC. Briefly, 200 µL of the solvent fraction was mixed with 800 µL of methanol, followed by the addition of 200 µL of 10% aluminium chloride and 200 µL of 1 M sodium acetate. The reaction mixture was incubated in the dark for 45 min, and the absorbance was recorded at 415 nm against a methanol blank without aluminium chloride. Gallic acid and quercetin were used as standards for TPC and TFC, respectively, and all measurements were performed in triplicate (Aoussar et al., 2020 ). Candida isolates and antibiofilm assay Clinical isolates of Candida tropicalis and C. albicans , showing variable resistance to fluconazole, were collected from a private hospital and maintained on Sabouraud dextrose agar plates. Both Candida isolates formed in vitro biofilms in test tube assays. To assess the ability of the fractions, HF and MF, to inhibit biofilm formation, a crystal violet inference assay was conducted in microtiter plates. The tests were performed as per (Aggarwal & Kashyap, 2018 ), and the concentrations of the fractions tested were 5 and 3 mg mL − 1 for HF and 100 and 50 mg mL − 1 for MF. The absorbance values at 570 nm were compared to those of the blank control, in which autoclaved distilled water was used instead of the test fractions. The percentage (%) attachment was calculated as follows: Thin-layer Chromatography HF and MF were dissolved in their respective solvents and spotted onto silica-G TLC plates for chromatographic separation. The solvent systems used were hexane-acetone (9:1 v/v) for HF and methanol for MF. The developed plates were examined under short- and long-wave UV light and subsequently exposed to iodine vapor. The Rf values of all the visible spots were recorded. Statistical Analysis All experiments were performed in triplicate, and the results are presented as the mean ± standard deviation. The antibiofilm activities of the hexane and methanol fractions against each Candida isolate were compared using a one-way analysis of variance (one-factor ANOVA). Statistical calculations were performed using Microsoft Excel (Office 2021), and differences were considered statistically significant at p < 0.05. Results and discussion Graphis ceylanica Zahlbr. is a script lichen of the genus Graphis. Lichens from this genus have been reported to possess antimicrobial and anti- Candida activities, including significant antioxidant potentials. To assess the potential of G. ceylanica , its antibiofilm potential against Candida isolates, DPPH radical-scavenging activity, phosphomolybdate total antioxidant capacity, and total phenol and flavonoid content were assessed. To date, G. ceylanica is largely limited to ecological and bioindicator studies, including that it accumulates arsenic and heavy metals in polluted environments (Bajpai et al., 2010 ). While its secondary metabolite chemistry remains uncharacterized. The TPC of the MF was 87.81 ± 1.5 mg GAE/g extract, whereas that of the hexane extract remained below the detection threshold. TFC followed a similar identical trend. This result is consistent with previous studies on other Graphis species, such as G. ajarekarii , where polar extracts yielded higher phenolics and flavonoids compared to the non-polar fractions (Haritha et al., 2019 ). Studies on the chemical diversity of Graphis spp. report phenolic depsidones, such as norstictic, stictic, and protocetraric acids which are associated with antioxidant activity (España-Puccini et al., 2025 ). The DPPH radical scavenging of MF was stronger at 46.51% than that of HF at 40.47%, reflecting its higher content of phenolics and flavonoids. Similar activity has been documented for methanolic extracts of G. scripta linking to its phenolic constituents. The lower RSA of HF was expected because of non-polar terpenoids and lipid-soluble constituents. TAC results further supported MF, showing the highest TAC at A 695 (1.382 ± 0.02), followed by HF (1.015 ± 0.02). Despite being the first antioxidant characterisation of this species, the findings closely align to with those reported for other Graphis lichens, which are known to be rich in phenolic depsidones responsible for redox activities (Pradhan et al., 2023 ). G. ceylanica emerges as a previously uncharacterized but promising antioxidant source, providing a baseline for further chemical and pharmacological exploration. Both the hexane and methanol fractions of the acetone extract exhibited potent antibiofilm activity against C. tropicalis and C. albicans , with significant reductions in biofilm biomass at all tested concentrations. Significant reductions in OD 540 were observed for C. tropicalis (F = 48.41, p = 0.00019) and C. albicans (F = 48.09, p = 0.00020), with 3 and 5 mg mL − 1 of HF treatment achieving 80–95% inhibition. This strong activity at lower concentrations of HF suggests that nonpolar constituents significantly contribute to the antibiofilm potential of the lichen. One-way ANOVA of OD 540 for MF revealed a highly significant decrease in values for the two species: C. albicans , F = 65.63, p = 8.35 × 10⁻⁵; C. tropicalis , F = 29.37, p = 0.00079, indicating a strong disruption of biofilms. Methanol fractions at 50 and 100 mg mL − 1 consistently reduced biofilm formation by 75–90%. The extracts exhibited comparable inhibitory trends for the two species, indicating that the bioactive components in these fractions might be active against Candida strains. The obtained results emphasise lichen extracts as promising candidates for antibiofilm agents which aligns to previous reports on other Graphis species (Do et al., 2024 ) exploring their ability to inhibit pathogens. TLC analysis of the acetone extract revealed seven UV-active spots, indicating the presence of multiple classes of lichen-derived secondary metabolites. HF exhibited four distinct bands with Rf values of 0.16, 0.28, 0.59, and 0.85, spanning the polar to nonpolar regions of the plate. Compared to the reference Rf ranges reported for common lichen substances, these values align with those of depsidone and depside-type compounds documented in Graphis species (España-Puccini et al., 2025 ). For example, the Rf value of 0.16 falls within the range reported for polar acidic depsidones, such as constictic derivatives, whereas the spot at 0.28 corresponds to mid-polarity stictic acid-like compounds. The band at Rf 0.59 is compatible with alkylated depsides such as sekikaic or lobaric acids (Santesson, 1967 ), and the Rf spot 0.85 matches nonpolar esters such as barbatic acid. The MF was composed of three spots with Rf values of 0.78, 0.82 and 0.97. The first two can be compared with the published Rf values for atranorin and chloroatranorin-type β-orcinol depsidones. The band with an Rf value of 0.97 likely represents a highly lipophilic phenolic or terpenoid compound (Elix, 2014 , 2022 ; Orange et al., 2010 ). These tentative assignments suggest the presence of depsides, depsidones, and related aromatic metabolites characteristic of the Graphidaceae family. These chemical profiles are consistent with the strong antibiofilm activity observed in bioassays. Both fractions significantly reduced the Candida albicans and C. tropicalis biofilms at the tested concentrations. The methanol fraction enriched in aromatic compounds compatible with atranorin-like molecules demonstrated clear antibiofilm effects (Somasekhar et al., 2024 ) at 50 and 100 mg mL − 1 , whereas the hexane fraction containing mid-polar depsidones and nonpolar depsides was similarly effective at 3 and 5 mg mL − 1 . The congruence between TLC-inferred compounds and antifungal outcomes suggests that various classes of metabolites likely act in concert to inhibit Candida biofilms. Overall, the results emphasise the chemical richness and bioactive potential of the lichen, highlighting the need for further purification and LC-MS/NMR-based identification of its active constituents in the future. Conclusion The present study is the first to report the antibiofilm and phytochemical potential of Graphis ceylanica Zahlbr. Fractionation of the acetone extract into hexane and methanol phases yielded chemically diverse profiles, as demonstrated by TLC. Both fractions exhibited strong inhibitory effects on C. albicans and C. tropicalis . The antioxidant response further corroborated the presence of phenolic and aromatic constituents in the extract. Although preliminary, these findings highlight G. ceylanica as a promising source of bioactive compounds and lay the foundation for future chemical characterisation and mechanistic studies. Declarations Acknowledgements Assam State Technology and Environment Council (ASTEC), Government of Assam, is gratefully acknowledged for financially supporting the earlier Student Science Project awarded to the first author (ASTEC/206/2021-22/1114–1114 dated 21/07/2022), which facilitated the identification of lichens used in this work. The present study received no external funding and was entirely self-financed. Special thanks are also extended to the Indian Council of Forestry Research and Education – Bamboo & Rattan (ICFRE-BR) Centre, Aizawl, for their invaluable assistance in the identification of the lichen, particularly Mr. Sandeep Yadav. References Aggarwal, P., & Kashyap, B. (2018). Biofilm production by clinically isolated Candida : Comparative analysis based on specimen, methodology, and various Candida species. Indian Journal of Medical Specialities , 9(2), 69–72. https://doi.org/10.1016/j.injms.2018.05.002 Aoussar, N., Laasri, F. E., Bourhia, M., Manoljovic, N., Mhand, R. A., Rhallabi, N., Ullah, R., Shahat, A. A., Noman, O. M., Nasr, F. A., Almarfadi, O. M., El Mzibri, M., Vasiljević, P., Benbacer, L., & Mellouki, F. (2020). Phytochemical analysis, cytotoxic, antioxidant, and antibacterial activities of lichens. Evidence-Based Complementary and Alternative Medicine , 2020(1), 8104538. https://doi.org/10.1155/2020/8104538 Bajpai, R., Nayaka, S., & Upreti, D. (2010). Determination of arsenic and heavy metals concentration in lichen Graphis ceylanica occurring in Hoogly district, West Bengal. (No journal details available.) Crawford, S. D. (2015). Lichens used in traditional medicine. In B. Ranković (Ed.), Lichen secondary metabolites (pp. 27–80). Springer International Publishing. https://doi.org/10.1007/978-3-319-13374-4_2 Do, T.-H., Duong, T.-H., Ho, M.-T.-T., Pham, D.-D., Nguyen, T.-H.-M., Aonbangkhen, C., Sichaem, J., Nguyen, C. H., Vo, T.-P.-G., Nguyen, N.-H., & Tran, T.-M.-D. (2024). A new diphenyl ether from the cultured lichen mycobiont of Graphis cf. handelii . Natural Product Research , 1–7. https://doi.org/10.1080/14786419.2024.2398736 Elix, J. A. (2014). A catalogue of standardized chromatographic data and biosynthetic relationships for lichen substances (Third). John A. Elix. Elix, J. A. (2022). A catalogue of standardized chromatographic data and biosynthetic relationships for lichen substances (Sixth). John A. Elix. España-Puccini, P., Muñoz-Acevedo, A., Llanos-López, N. A., Stadler, M., Ganoza-Yupanqui, M. L., & Martínez-Habibe, M. C. (2025). Chemical diversity of three lichens of genus Graphis (Graphidaceae) of the tropical dry forest from the northern region of Colombia. Mycological Progress , 24(1), 68. https://doi.org/10.1007/s11557-025-02080-5 Haritha, P., Patnaik, S. K., & Tatipamula, V. B. (2019). Chemical and pharmacological evaluation of manglicolous lichen Graphis ajarekarii Patw. & C. R. Kulk. Vietnam Journal of Science and Technology , 57(3), 300. https://doi.org/10.15625/2525-2518/57/3/13679 Nayaka, S., Upreti, D. K., & Khare, R. (2010). Medicinal lichens of India (P. C. Trivedi). Avishkar Publishers and Distributors. Orange, A., White, F. J., & James, P. W. (2010). Microchemical methods for the identification of lichens (Second). British Lichen Society. Pradhan, S., Dash, S., Parida, S., Sahoo, B., & Rath, B. (2023). Antioxidant and antimicrobial activities and GC/MS-based phytochemical analysis of two traditional lichen species Trypethellium virens and Phaeographis dendritica . Journal of Genetic Engineering and Biotechnology , 21(1), 41. https://doi.org/10.1186/s43141-023-00490-0 Santesson, J. (1967). Chemical studies on lichens. Thin layer chromatography of lichen substances. Acta Chemica Scandinavica , 21(5), 1162–1172. Somasekhar, T., Gundoju, N. R., Krishna, B. R., & Elkhateeb, W. (2024). Pharmacological evaluation of atranorin: A comprehensive study on its biological activities. Journal of Biomedical Research & Environmental Sciences , 5(11), 1463–1468. https://doi.org/10.37871/jbres2034 Additional Declarations The authors declare no competing interests. Supplementary Files GraphisSpeciesSupplementary.jpg Image of Graphis species collected from the site. 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. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-8857810","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Short Report","associatedPublications":[],"authors":[{"id":590019075,"identity":"a001f597-678c-42b8-ab50-2d45b7d061e0","order_by":0,"name":"Biprajeet Dey","email":"","orcid":"","institution":"Assam Don Bosco University","correspondingAuthor":false,"prefix":"","firstName":"Biprajeet","middleName":"","lastName":"Dey","suffix":""},{"id":590019305,"identity":"e3571221-533f-44a8-ba43-8c46212baf7a","order_by":1,"name":"Debapiya Das","email":"","orcid":"","institution":"Assam Don Bosco University","correspondingAuthor":false,"prefix":"","firstName":"Debapiya","middleName":"","lastName":"Das","suffix":""},{"id":590019306,"identity":"58d8d86d-0abf-4712-98da-b01f15d00a01","order_by":2,"name":"Vedant Vikrom Borah","email":"data:image/png;base64,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","orcid":"https://orcid.org/0000-0002-5116-2072","institution":"Assam Don Bosco University","correspondingAuthor":true,"prefix":"","firstName":"Vedant","middleName":"Vikrom","lastName":"Borah","suffix":""}],"badges":[],"createdAt":"2026-02-12 05:38:51","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-8857810/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8857810/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":102600802,"identity":"aac7cffd-c48d-407b-bc5e-d03f5471cd6f","added_by":"auto","created_at":"2026-02-13 12:56:34","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":137091,"visible":true,"origin":"","legend":"\u003cp\u003eEffects of hexane (a) and methanol (b) extracts on \u003cem\u003eCandida \u0026nbsp;tropicalis\u003c/em\u003e and \u003cem\u003eCandida albicans\u003c/em\u003e biofilm formation. '*' indicate \u0026nbsp;significant reduction vs. control.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-8857810/v1/dbe13e03f84e55ae3fa56910.png"},{"id":102747603,"identity":"0890a814-b9ee-4019-8769-f39923305f0b","added_by":"auto","created_at":"2026-02-16 09:05:02","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":683060,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8857810/v1/3e165063-19b0-47fe-a4f0-0cb4be3119af.pdf"},{"id":102600813,"identity":"92495c58-e2fd-4def-a6e1-e3ad8921d606","added_by":"auto","created_at":"2026-02-13 12:56:38","extension":"jpg","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":4422366,"visible":true,"origin":"","legend":"\u003cp\u003eImage of \u003cem\u003eGraphis \u003c/em\u003especies collected from the site.\u003c/p\u003e","description":"","filename":"GraphisSpeciesSupplementary.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8857810/v1/c698c5f6440f57d3dbf8fd89.jpg"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003ePreliminary evaluation of the anti-\u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eCandida\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e antibiofilm and phytochemical potential of \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eGraphis ceylanica\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e Zahlbr\u003c/strong\u003e\u003c/p\u003e","fulltext":[{"header":"Introduction","content":"\u003cp\u003eLichens have been recognized for their ethnopharmacological use in treating infections, respiratory and digestive conditions, wounds, and inflammatory disorders (Crawford, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). Systems such as Ayurveda, Siddha, and European folk medicine mention the use of several well-known species of lichen. \u003cem\u003eGraphis ceylanica\u003c/em\u003e Zahlbr. is a relatively understudied lichen from the family Graphidaceae, Ascomycota, and has not been reported for its medicinal or homeopathic properties. There are no validated uses or preparations for this species, and scientific research is equally scarce. Pharmacological, antimicrobial, antioxidant, or metabolite studies have not been published to date, and its chemical profile remains entirely uncharacterized.\u003c/p\u003e \u003cp\u003eBelonging to the Genus \u003cem\u003eGraphis\u003c/em\u003e, commonly grouped as \u0026lsquo;script\u0026rsquo; lichen, \u003cem\u003eG. ceylanica\u003c/em\u003e may contain bioactives that have been reported for this genus (Nayaka et al., \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). Congeners such as \u003cem\u003eG. nakanishiana\u003c/em\u003e and \u003cem\u003eG. schizograpta\u003c/em\u003e contain moderate levels of phenolic bioactives, typically classified as depsides and depsidones, with reported antimicrobial, antioxidant, and enzyme-inhibitory activities. In addition, \u003cem\u003eGraphis\u003c/em\u003e depsidones, such as norsticitic, stictic, and protocetraric acids, have shown notable antifungal activities (Espa\u0026ntilde;a-Puccini et al., \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). Similar research gaps exist for the antioxidant and radical-scavenging activities of \u003cem\u003eG. ceylanica\u003c/em\u003e, while other members of the family display significant activity. To the best of our knowledge, this study is the first to report the biological activity of \u003cem\u003eGraphis ceylanica\u003c/em\u003e, including its anti-\u003cem\u003eCandida\u003c/em\u003e biofilm and antioxidant potential. It is a compelling candidate for initial screening as one of the least studied lichens. The present study provides essential baseline data for future pharmacological investigations and offers insights into the underexplored tropical lichen diversity.\u003c/p\u003e"},{"header":"Materials and Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\n \u003ch2\u003eExtract preparation\u003c/h2\u003e\n \u003cp\u003eThe lichen sample was collected from the bark of tea plants in Tapesia, Guwahati, Assam, India. This \u003cem\u003e\u0026lsquo;script\u003c/em\u003e\u0026rsquo; lichen was taxonomically identified as \u003cem\u003eGraphis ceylanica\u003c/em\u003e Zahlbr. by the ICFRE-Bamboo and Rattan Center, Aizawl. The samples were then washed with distilled water and dried in a hot air oven. The dried samples were ground using a mortar and pestle, mixed with acetone at a w/v ratio of 1:15, and macerated for 16 h. After mixing, the acetone extract was filtered through a Buchner funnel, mixed with an equal volume of hexane, and stirred with a magnetic stirrer for an hour. The mixture was allowed to stand until a clear separation between the solutions occurred. The hexane fraction (HF) was pooled into a sterilized pre-weighed beaker and evaporated; the remaining solution was mixed with an equal volume of 1:2 methanol:water and processed in the same manner to obtain the methanol fraction (MF). The yield of the extracts was measured using the following formula: [W\u003csub\u003ea\u003c/sub\u003e is the weight of the empty beaker and W\u003csub\u003eb\u003c/sub\u003e is the weight of the beaker and dried extracts]. The dried samples were stored at 4\u0026deg;C until further analysis.\u003c/p\u003e\n\u003c/div\u003e\n\u003ch3\u003eAntioxidant activity\u003c/h3\u003e\n\u003cp\u003eAntioxidant activity was measured by mixing the solvent fractions with freshly prepared 0.12 mM DPPH and recording the decrease in absorbance at 570 nm after 30 min of incubation in the dark (Aoussar et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e). The concentrations of the fractions tested were HF: 5 mg mL\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e and MF: 100 mg mL\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. The percentage of DPPH radical scavenging was calculated as follows:\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eTotal antioxidant capacity (TAC) was measured by reacting 0.3 mL of each extract with the phosphomolybdate reagent and incubating the mixture at 90\u0026deg;C for 90 min. Absorbance was recorded at 695 nm against a methanol blank.\u003c/p\u003e\n\u003ch3\u003eDetermination of total phenolic and flavonoid contents\u003c/h3\u003e\n\u003cp\u003eThe TPC of the extracts was determined using the Folin-Ciocalteu method with minor modifications. For the assay, 200 \u0026micro;L of each solvent fraction was diluted with distilled water to a final volume of 800 \u0026micro;L, followed by the addition of 300 \u0026micro;L of Folin-Ciocalteu reagent. After 10 min at room temperature, 1 mL of 20% sodium carbonate solution was added and incubated in the dark for 60 min before measuring the absorbance at 650 nm. A modified method was used to quantify the TFC. Briefly, 200 \u0026micro;L of the solvent fraction was mixed with 800 \u0026micro;L of methanol, followed by the addition of 200 \u0026micro;L of 10% aluminium chloride and 200 \u0026micro;L of 1 M sodium acetate. The reaction mixture was incubated in the dark for 45 min, and the absorbance was recorded at 415 nm against a methanol blank without aluminium chloride. Gallic acid and quercetin were used as standards for TPC and TFC, respectively, and all measurements were performed in triplicate (Aoussar et al., \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCandida\u003c/strong\u003e \u003cstrong\u003eisolates and antibiofilm assay\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eClinical isolates of \u003cem\u003eCandida tropicalis\u003c/em\u003e and \u003cem\u003eC. albicans\u003c/em\u003e, showing variable resistance to fluconazole, were collected from a private hospital and maintained on Sabouraud dextrose agar plates. Both \u003cem\u003eCandida\u003c/em\u003e isolates formed \u003cem\u003ein vitro\u003c/em\u003e biofilms in test tube assays. To assess the ability of the fractions, HF and MF, to inhibit biofilm formation, a crystal violet inference assay was conducted in microtiter plates. The tests were performed as per (Aggarwal \u0026amp; Kashyap, \u003cspan class=\"CitationRef\"\u003e2018\u003c/span\u003e), and the concentrations of the fractions tested were 5 and 3 mg mL\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e for HF and 100 and 50 mg mL\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e for MF. The absorbance values at 570 nm were compared to those of the blank control, in which autoclaved distilled water was used instead of the test fractions. The percentage (%) attachment was calculated as follows:\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003ch3\u003eThin-layer Chromatography\u003c/h3\u003e\n\u003cp\u003eHF and MF were dissolved in their respective solvents and spotted onto silica-G TLC plates for chromatographic separation. The solvent systems used were hexane-acetone (9:1 v/v) for HF and methanol for MF. The developed plates were examined under short- and long-wave UV light and subsequently exposed to iodine vapor. The Rf values of all the visible spots were recorded.\u003c/p\u003e\n\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\n \u003ch2\u003eStatistical Analysis\u003c/h2\u003e\n \u003cp\u003eAll experiments were performed in triplicate, and the results are presented as the mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation. The antibiofilm activities of the hexane and methanol fractions against each \u003cem\u003eCandida\u003c/em\u003e isolate were compared using a one-way analysis of variance (one-factor ANOVA). Statistical calculations were performed using Microsoft Excel (Office 2021), and differences were considered statistically significant at p\u0026thinsp;\u0026lt;\u0026thinsp;0.05.\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cimg 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\"\u003e\u003c/div\u003e\n \u003c/div\u003e\n\u003c/div\u003e"},{"header":"Results and discussion","content":"\u003cp\u003e \u003cem\u003eGraphis ceylanica\u003c/em\u003e Zahlbr. is a \u003cem\u003escript\u003c/em\u003e lichen of the genus \u003cem\u003eGraphis.\u003c/em\u003e Lichens from this genus have been reported to possess antimicrobial and anti-\u003cem\u003eCandida\u003c/em\u003e activities, including significant antioxidant potentials. To assess the potential of \u003cem\u003eG. ceylanica\u003c/em\u003e, its antibiofilm potential against \u003cem\u003eCandida\u003c/em\u003e isolates, DPPH radical-scavenging activity, phosphomolybdate total antioxidant capacity, and total phenol and flavonoid content were assessed.\u003c/p\u003e \u003cp\u003eTo date, \u003cem\u003eG. ceylanica\u003c/em\u003e is largely limited to ecological and bioindicator studies, including that it accumulates arsenic and heavy metals in polluted environments (Bajpai et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). While its secondary metabolite chemistry remains uncharacterized. The TPC of the MF was 87.81\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5 mg GAE/g extract, whereas that of the hexane extract remained below the detection threshold. TFC followed a similar identical trend. This result is consistent with previous studies on other \u003cem\u003eGraphis\u003c/em\u003e species, such as \u003cem\u003eG. ajarekarii\u003c/em\u003e, where polar extracts yielded higher phenolics and flavonoids compared to the non-polar fractions (Haritha et al., \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). Studies on the chemical diversity of \u003cem\u003eGraphis\u003c/em\u003e spp. report phenolic depsidones, such as norstictic, stictic, and protocetraric acids which are associated with antioxidant activity (Espa\u0026ntilde;a-Puccini et al., \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2025\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe DPPH radical scavenging of MF was stronger at 46.51% than that of HF at 40.47%, reflecting its higher content of phenolics and flavonoids. Similar activity has been documented for methanolic extracts of \u003cem\u003eG. scripta\u003c/em\u003e linking to its phenolic constituents. The lower RSA of HF was expected because of non-polar terpenoids and lipid-soluble constituents. TAC results further supported MF, showing the highest TAC at A\u003csub\u003e695\u003c/sub\u003e (1.382\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02), followed by HF (1.015\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02). Despite being the first antioxidant characterisation of this species, the findings closely align to with those reported for other \u003cem\u003eGraphis\u003c/em\u003e lichens, which are known to be rich in phenolic depsidones responsible for redox activities (Pradhan et al., \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). \u003cem\u003eG. ceylanica\u003c/em\u003e emerges as a previously uncharacterized but promising antioxidant source, providing a baseline for further chemical and pharmacological exploration.\u003c/p\u003e \u003cp\u003eBoth the hexane and methanol fractions of the acetone extract exhibited potent antibiofilm activity against \u003cem\u003eC. tropicalis\u003c/em\u003e and \u003cem\u003eC. albicans\u003c/em\u003e, with significant reductions in biofilm biomass at all tested concentrations. Significant reductions in OD\u003csub\u003e540\u003c/sub\u003e were observed for \u003cem\u003eC. tropicalis\u003c/em\u003e (F\u0026thinsp;=\u0026thinsp;48.41, p\u0026thinsp;=\u0026thinsp;0.00019) and \u003cem\u003eC. albicans\u003c/em\u003e (F\u0026thinsp;=\u0026thinsp;48.09, p\u0026thinsp;=\u0026thinsp;0.00020), with 3 and 5 mg mL\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of HF treatment achieving 80\u0026ndash;95% inhibition. This strong activity at lower concentrations of HF suggests that nonpolar constituents significantly contribute to the antibiofilm potential of the lichen. One-way ANOVA of OD\u003csub\u003e540\u003c/sub\u003e for MF revealed a highly significant decrease in values for the two species: \u003cem\u003eC. albicans\u003c/em\u003e, F\u0026thinsp;=\u0026thinsp;65.63, p\u0026thinsp;=\u0026thinsp;8.35 \u0026times; 10⁻⁵; \u003cem\u003eC. tropicalis\u003c/em\u003e, F\u0026thinsp;=\u0026thinsp;29.37, p\u0026thinsp;=\u0026thinsp;0.00079, indicating a strong disruption of biofilms. Methanol fractions at 50 and 100 mg mL\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e consistently reduced biofilm formation by 75\u0026ndash;90%. The extracts exhibited comparable inhibitory trends for the two species, indicating that the bioactive components in these fractions might be active against \u003cem\u003eCandida\u003c/em\u003e strains. The obtained results emphasise lichen extracts as promising candidates for antibiofilm agents which aligns to previous reports on other \u003cem\u003eGraphis\u003c/em\u003e species (Do et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) exploring their ability to inhibit pathogens.\u003c/p\u003e \u003cp\u003eTLC analysis of the acetone extract revealed seven UV-active spots, indicating the presence of multiple classes of lichen-derived secondary metabolites. HF exhibited four distinct bands with Rf values of 0.16, 0.28, 0.59, and 0.85, spanning the polar to nonpolar regions of the plate. Compared to the reference Rf ranges reported for common lichen substances, these values align with those of depsidone and depside-type compounds documented in \u003cem\u003eGraphis\u003c/em\u003e species (Espa\u0026ntilde;a-Puccini et al., \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). For example, the Rf value of 0.16 falls within the range reported for polar acidic depsidones, such as constictic derivatives, whereas the spot at 0.28 corresponds to mid-polarity stictic acid-like compounds. The band at Rf 0.59 is compatible with alkylated depsides such as sekikaic or lobaric acids (Santesson, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e1967\u003c/span\u003e), and the Rf spot 0.85 matches nonpolar esters such as barbatic acid. The MF was composed of three spots with Rf values of 0.78, 0.82 and 0.97. The first two can be compared with the published Rf values for atranorin and chloroatranorin-type β-orcinol depsidones. The band with an Rf value of 0.97 likely represents a highly lipophilic phenolic or terpenoid compound (Elix, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2014\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Orange et al., \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). These tentative assignments suggest the presence of depsides, depsidones, and related aromatic metabolites characteristic of the Graphidaceae family. These chemical profiles are consistent with the strong antibiofilm activity observed in bioassays. Both fractions significantly reduced the \u003cem\u003eCandida albicans\u003c/em\u003e and \u003cem\u003eC. tropicalis\u003c/em\u003e biofilms at the tested concentrations. The methanol fraction enriched in aromatic compounds compatible with atranorin-like molecules demonstrated clear antibiofilm effects (Somasekhar et al., \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) at 50 and 100 mg mL\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, whereas the hexane fraction containing mid-polar depsidones and nonpolar depsides was similarly effective at 3 and 5 mg mL\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. The congruence between TLC-inferred compounds and antifungal outcomes suggests that various classes of metabolites likely act in concert to inhibit \u003cem\u003eCandida\u003c/em\u003e biofilms. Overall, the results emphasise the chemical richness and bioactive potential of the lichen, highlighting the need for further purification and LC-MS/NMR-based identification of its active constituents in the future.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThe present study is the first to report the antibiofilm and phytochemical potential of \u003cem\u003eGraphis ceylanica\u003c/em\u003e Zahlbr. Fractionation of the acetone extract into hexane and methanol phases yielded chemically diverse profiles, as demonstrated by TLC. Both fractions exhibited strong inhibitory effects on \u003cem\u003eC. albicans\u003c/em\u003e and \u003cem\u003eC. tropicalis\u003c/em\u003e. The antioxidant response further corroborated the presence of phenolic and aromatic constituents in the extract. Although preliminary, these findings highlight \u003cem\u003eG. ceylanica\u003c/em\u003e as a promising source of bioactive compounds and lay the foundation for future chemical characterisation and mechanistic studies.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAcknowledgements\u003c/h2\u003e \u003cp\u003eAssam State Technology and Environment Council (ASTEC), Government of Assam, is gratefully acknowledged for financially supporting the earlier Student Science Project awarded to the first author (ASTEC/206/2021-22/1114\u0026ndash;1114 dated 21/07/2022), which facilitated the identification of lichens used in this work. The present study received no external funding and was entirely self-financed. Special thanks are also extended to the Indian Council of Forestry Research and Education \u0026ndash; Bamboo \u0026amp; Rattan (ICFRE-BR) Centre, Aizawl, for their invaluable assistance in the identification of the lichen, particularly Mr. Sandeep Yadav.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eAggarwal, P., \u0026amp; Kashyap, B. (2018). Biofilm production by clinically isolated \u003cem\u003eCandida\u003c/em\u003e: Comparative analysis based on specimen, methodology, and various \u003cem\u003eCandida\u003c/em\u003e species. \u003cem\u003eIndian Journal of Medical Specialities\u003c/em\u003e, 9(2), 69\u0026ndash;72. https://doi.org/10.1016/j.injms.2018.05.002\u003c/li\u003e\n \u003cli\u003eAoussar, N., Laasri, F. E., Bourhia, M., Manoljovic, N., Mhand, R. A., Rhallabi, N., Ullah, R., Shahat, A. A., Noman, O. M., Nasr, F. A., Almarfadi, O. M., El Mzibri, M., Vasiljević, P., Benbacer, L., \u0026amp; Mellouki, F. (2020). Phytochemical analysis, cytotoxic, antioxidant, and antibacterial activities of lichens. \u003cem\u003eEvidence-Based Complementary and Alternative Medicine\u003c/em\u003e, 2020(1), 8104538. https://doi.org/10.1155/2020/8104538\u003c/li\u003e\n \u003cli\u003eBajpai, R., Nayaka, S., \u0026amp; Upreti, D. (2010). Determination of arsenic and heavy metals concentration in lichen \u003cem\u003eGraphis ceylanica\u003c/em\u003e occurring in Hoogly district, West Bengal. \u003cem\u003e(No journal details available.)\u003c/em\u003e\u003c/li\u003e\n \u003cli\u003eCrawford, S. D. (2015). Lichens used in traditional medicine. In B. Ranković (Ed.), \u003cem\u003eLichen secondary metabolites\u003c/em\u003e (pp. 27\u0026ndash;80). Springer International Publishing. https://doi.org/10.1007/978-3-319-13374-4_2\u003c/li\u003e\n \u003cli\u003eDo, T.-H., Duong, T.-H., Ho, M.-T.-T., Pham, D.-D., Nguyen, T.-H.-M., Aonbangkhen, C., Sichaem, J., Nguyen, C. H., Vo, T.-P.-G., Nguyen, N.-H., \u0026amp; Tran, T.-M.-D. (2024). A new diphenyl ether from the cultured lichen mycobiont of \u003cem\u003eGraphis cf. handelii\u003c/em\u003e. \u003cem\u003eNatural Product Research\u003c/em\u003e, 1\u0026ndash;7. https://doi.org/10.1080/14786419.2024.2398736\u003c/li\u003e\n \u003cli\u003eElix, J. A. (2014). \u003cem\u003eA catalogue of standardized chromatographic data and biosynthetic relationships for lichen substances\u003c/em\u003e (Third). John A. Elix.\u003c/li\u003e\n \u003cli\u003eElix, J. A. (2022). \u003cem\u003eA catalogue of standardized chromatographic data and biosynthetic relationships for lichen substances\u003c/em\u003e (Sixth). John A. Elix.\u003c/li\u003e\n \u003cli\u003eEspa\u0026ntilde;a-Puccini, P., Mu\u0026ntilde;oz-Acevedo, A., Llanos-L\u0026oacute;pez, N. A., Stadler, M., Ganoza-Yupanqui, M. L., \u0026amp; Mart\u0026iacute;nez-Habibe, M. C. (2025). Chemical diversity of three lichens of genus \u003cem\u003eGraphis\u003c/em\u003e (Graphidaceae) of the tropical dry forest from the northern region of Colombia. \u003cem\u003eMycological Progress\u003c/em\u003e, 24(1), 68. https://doi.org/10.1007/s11557-025-02080-5\u003c/li\u003e\n \u003cli\u003eHaritha, P., Patnaik, S. K., \u0026amp; Tatipamula, V. B. (2019). Chemical and pharmacological evaluation of manglicolous lichen \u003cem\u003eGraphis ajarekarii\u003c/em\u003e Patw. \u0026amp; C. R. Kulk. \u003cem\u003eVietnam Journal of Science and Technology\u003c/em\u003e, 57(3), 300. https://doi.org/10.15625/2525-2518/57/3/13679\u003c/li\u003e\n \u003cli\u003eNayaka, S., Upreti, D. K., \u0026amp; Khare, R. (2010). \u003cem\u003eMedicinal lichens of India\u003c/em\u003e (P. C. Trivedi). Avishkar Publishers and Distributors.\u003c/li\u003e\n \u003cli\u003eOrange, A., White, F. J., \u0026amp; James, P. W. (2010). \u003cem\u003eMicrochemical methods for the identification of lichens\u003c/em\u003e (Second). British Lichen Society.\u003c/li\u003e\n \u003cli\u003ePradhan, S., Dash, S., Parida, S., Sahoo, B., \u0026amp; Rath, B. (2023). Antioxidant and antimicrobial activities and GC/MS-based phytochemical analysis of two traditional lichen species \u003cem\u003eTrypethellium virens\u003c/em\u003e and \u003cem\u003ePhaeographis dendritica\u003c/em\u003e. \u003cem\u003eJournal of Genetic Engineering and Biotechnology\u003c/em\u003e, 21(1), 41. https://doi.org/10.1186/s43141-023-00490-0\u003c/li\u003e\n \u003cli\u003eSantesson, J. (1967). Chemical studies on lichens. Thin layer chromatography of lichen substances. \u003cem\u003eActa Chemica Scandinavica\u003c/em\u003e, 21(5), 1162\u0026ndash;1172.\u003c/li\u003e\n \u003cli\u003eSomasekhar, T., Gundoju, N. R., Krishna, B. R., \u0026amp; Elkhateeb, W. (2024). Pharmacological evaluation of atranorin: A comprehensive study on its biological activities. \u003cem\u003eJournal of Biomedical Research \u0026amp; Environmental Sciences\u003c/em\u003e, 5(11), 1463\u0026ndash;1468. https://doi.org/10.37871/jbres2034\u003c/li\u003e\n\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":"TLC profile, antibiofilm, Candida species, Graphis, lichens","lastPublishedDoi":"10.21203/rs.3.rs-8857810/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8857810/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e \u003cem\u003eGraphis ceylanica\u003c/em\u003e Zahlbr., a script lichen, was screened for its antioxidant, TLC profile and antibiofilm potentials. The methanol fraction (MF) and hexane fraction (HF) from an acetone extract were screened for DPPH scavenging, phosphomolybdate total antioxidant capacity (TAC), total phenolic content (TPC), and total flavonoid content (TFC), along with antibiofilm assays against \u003cem\u003eCandida albicans\u003c/em\u003e and \u003cem\u003eC. tropicalis\u003c/em\u003e. MF displayed higher antioxidant activity than HF, with TAC (A695\u0026thinsp;=\u0026thinsp;1.382\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02), TPC (=\u0026thinsp;87.81\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5 mg GAE/g), and TFC (=\u0026thinsp;5.63\u0026thinsp;\u0026plusmn;\u0026thinsp;0.29 mg QE/g), thus confirming phenolic enrichment of the methanol fractions reported in other \u003cem\u003eGraphis\u003c/em\u003e species. TLC profiling revealed multiple UV-active bands consistent with depsides, depsidones, and aromatic metabolites characteristic of Graphidaceae. Both fractions exhibited promising DPPH scavenging activity, with 46.51% for MF and 40.47% for HF. Most importantly, strong antibiofilm effects against both Candida strains were evident, with HF at 3\u0026ndash;5 mg mL\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e and MF at 50\u0026ndash;100 mg mL\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, inhibiting\u0026thinsp;\u0026gt;\u0026thinsp;75\u0026ndash;95% of biofilm formation. Therefore, the current study highlights \u003cem\u003eG. ceylanica\u003c/em\u003e as a chemically diverse and bioactive lichen, presenting the first baseline evidence of its antioxidant and antibiofilm properties.\u003c/p\u003e","manuscriptTitle":"Preliminary evaluation of the anti-Candida antibiofilm and phytochemical potential of Graphis ceylanica Zahlbr","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-02-13 12:56:24","doi":"10.21203/rs.3.rs-8857810/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":"163f7ba8-aa8b-4184-9727-6a4ceab633c6","owner":[],"postedDate":"February 13th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":62883860,"name":"Applied \u0026 Industrial Microbiology"},{"id":62883861,"name":"Clinical Pharmacology"}],"tags":[],"updatedAt":"2026-02-13T12:56:24+00:00","versionOfRecord":[],"versionCreatedAt":"2026-02-13 12:56:24","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8857810","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8857810","identity":"rs-8857810","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}