Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/16674
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dc.contributor.authorKaushik, Anshulen_US
dc.contributor.authorSangtani, Rimjhimen_US
dc.contributor.authorBala, Kiranen_US
dc.date.accessioned2025-09-04T12:41:58Z-
dc.date.available2025-09-04T12:41:58Z-
dc.date.issued2025-
dc.identifier.citationKaushik, A., Sangtani, R., & Bala, K. (2025). Metabolic fingerprinting of photosynthetic carbon-fixing algae: Revealing efficient solvent-based approach for biopharmaceutical discovery. Chemical Engineering Journal, 522. https://doi.org/10.1016/j.cej.2025.167283en_US
dc.identifier.issn1385-8947-
dc.identifier.otherEID(2-s2.0-105013341703)-
dc.identifier.urihttps://dx.doi.org/10.1016/j.cej.2025.167283-
dc.identifier.urihttps://dspace.iiti.ac.in:8080/jspui/handle/123456789/16674-
dc.description.abstractPhotosynthetic carbon-fixing organisms, including algae, assimilate atmospheric carbon dioxide into elemental backbone of sustainable and valuable biomass and bioproducts. Despite their promising potential, they have remained an untapped resource for biopharmaceutical development. Presently, solvent selection based on empirical polarity index or trial and error frequently leads to the exclusion of solvents capable of solubilizing unique metabolites, hampering the discovery of bioactive metabolites. In this study, the impact of solvents selected through Hansen Solubility Parameters (HSPs), namely, ethanol, chloroform, acetone, and a mixed solvent (methanol/chloroform/ethanolen_US
dc.description.abstract2:6:2), was explored in ten freshwater indigenous microalgae and cyanobacteria species through GC–MS based metabolites fingerprinting. The identified metabolites were screened against diabetes molecular targets, Dipeptidyl peptidase-IV (DPP-IV) and Aldose Reductase, through molecular docking. Further, molecular dynamics (MD) simulations provided insights into the effects of solvation and conformational flexibility on binding free energy. Among the 131 identified metabolites, a core metabolome of 84 metabolites enriched across all solvent systems, and 47 non-overlapping metabolites, including quinic acid, 7-hydroxyflavone, and ergost-7-en-3-ol, were abundant in various solvent combinations. Acetone extraction yielded a distinct cluster from ethanol-extracted species. Further, in-silico screening identified ergost-7-en-3-ol as a promising candidate. It exhibited high binding energy and persistent molecular interactions within the binding site, making it a strong anti-diabetic drug candidate. In conclusion, the implementation of HSPs-based solvent selection, combined with comprehensive metabolic fingerprinting, offers a systematic strategy to enhance discovery from natural sources in pharmaceutical research, paving the way for groundbreaking advancements in the field. © 2025 Elsevier B.V., All rights reserved.en_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.sourceChemical Engineering Journalen_US
dc.subjectAlgaeen_US
dc.subjectBiopharmaceuticalsen_US
dc.subjectDiabetesen_US
dc.subjectErgost-7-en-3-olen_US
dc.subjectHansen Solubility Parametersen_US
dc.subjectMetabolic Fingerprintingen_US
dc.subjectAcetoneen_US
dc.subjectBinding Energyen_US
dc.subjectBinding Sitesen_US
dc.subjectBiomoleculesen_US
dc.subjectCarbon Dioxideen_US
dc.subjectDiagnosisen_US
dc.subjectDrug Discoveryen_US
dc.subjectEthanolen_US
dc.subjectFree Energyen_US
dc.subjectMetabolismen_US
dc.subjectMetabolitesen_US
dc.subjectMolecular Dynamicsen_US
dc.subjectMolecular Structureen_US
dc.subjectSolubilityen_US
dc.subjectSolventsen_US
dc.subjectAtmospheric Carbon Dioxideen_US
dc.subjectBiopharmaceutical Developmenten_US
dc.subjectBiopharmaceuticalsen_US
dc.subjectBioproductsen_US
dc.subjectErgost-7-en-3-olen_US
dc.subjectHansen Solubility Parametersen_US
dc.subjectMetabolic Fingerprintingen_US
dc.subjectSelection Baseden_US
dc.subjectSolvent Baseden_US
dc.subjectSolvent Selectionen_US
dc.subjectAlgaeen_US
dc.subjectMedical Problemsen_US
dc.titleMetabolic fingerprinting of photosynthetic carbon-fixing algae: Revealing efficient solvent-based approach for biopharmaceutical discoveryen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Biosciences and Biomedical Engineering

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