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GC-MS is an instrument that is used for lipid profiling and biomarker identification. The study aims to identify and quantified fatty acids (FAs) from six hybrid mushrooms (APS) with their parents P.sajor caju and C.indica by using GC-MS fingerprinting. By using TR-WaxMS Colum methyl ester form of fatty acids could be analysed. In the present study, we have identified twelve fatty acids. It was also found unsaturated fatty acids (UFA) are more predominant than saturated fatty acids (SFA). Saturated fatty acids, Palmitic acid, and Stearic acids are abundantly present in the studied samples and ranged from 0.345% to 30.339%. It was also noticed that monounsaturated fatty acids (MUFA), Oleic acid was profusely present in some hybrid mushroom strains (APS-3, APS-5, and APS-6) ranging between 0.170% to 12.327%, whereas polyunsaturated fatty acids (PUFA) are only abundantly present in hybrid APS-6 (22.908%). Overall, the unsaturated fatty acids were at higher concentrations than saturated fatty acids in hybrids than in parent strains.
"GC-MS fingerprinting of Fatty acids of somatic hybrid mushrooms derived from the protoplast fusion between Pleurotus sajor- caju and Calocybe indica", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.1424 - 1428, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207223.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator