A GC-MS Based Metabolic Profiling of Probiotic Lactic Acid Bacteria Isolated from Traditional Food Products | Zendy

Aditya Chaudhary | Zendy; Khushbu Verma | Zendy; Baljeet Singh Saharan | Zendy

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A GC-MS Based Metabolic Profiling of Probiotic Lactic Acid Bacteria Isolated from Traditional Food Products

Author(s) -

Aditya Chaudhary,

Khushbu Verma,

Baljeet Singh Saharan

Publication year - 2020

Publication title -

journal of pure and applied microbiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.149

H-Index - 16

eISSN - 2581-690X

pISSN - 0973-7510

DOI - 10.22207/jpam.14.1.68

Subject(s) - lactic acid , probiotic , bacteria , food science , metabolomics , metabolome , antimicrobial , chemistry , gas chromatography–mass spectrometry , biology , microbiology and biotechnology , mass spectrometry , chromatography , genetics

A GC-MS based metabolic profiling was carried out to study metabolic differences of lactic acid bacteria isolated from different food sources. Metabolic fingerprinting is a non-targeted procedure where all detectable peaks are considered to establish sample classification. A total of 40 compounds were identified as major metabolites contributing to the difference among five different probiotic lactic acid bacteria. Some of the metabolites identified in this study have been reported as a defrosting agent, antioxidant, flavour agent, antimicrobial, natural food additive, anti-inflammatory, anti-sleep disorder agent and anti-cancer agents. These results suggest that GC-MS based metabolomic analysis is a useful tool to facilitate future investigations into the characterization of probiotic lactic acid bacteria.

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