Dataset Information

Comprehensive Metabolite Characterization of Beejamrit Using GC–MS and LC–MS

ABSTRACT:

Indian natural farming practices which are mainly based on various bioformulations emerged as a sustainable alternative to conventional farming. Beejamrit is one such cow-based biostimulant which is used as a seed treatment to enhance seed germination, seed vigor, and resistance to pathogens. In this study untargeted metabolomics (GC-MS and LC-MS) were employed to comprehensively characterize the metabolic profiles of beejamrit samples. GC-MS analysis identified organoheterocyclic compounds (23%) as a most abundant metabolite class followed by organic acids and derivatives (18%) and benzenoids (15%). In LC-MS analysis, lipids and lipid-like molecules (26%) were highly abundant followed by organoheterocylclics (18%), and organic acids compounds (18%). Furthermore, GC-MS and LC-MS analysis identified a wide range of metabolites, including amino acids, organic acids, phenolics, and fatty acids, many of which are associated with antioxidants, antimicrobial, signaling and plant growth promoting functions.

INSTRUMENT(S): Gas Chromatography MS - positive, Liquid Chromatography MS - positive - reverse phase

PROVIDER: MTBLS13129 | MetaboLights | 2025-12-10

REPOSITORIES: MetaboLights

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			Action	DRS
	a_MTBLS13129_GC-MS_positive__metabolite_profiling.txt	Txt
	a_MTBLS13129_LC-MS_positive_reverse-phase_metabolite_profiling.txt	Txt
	i_Investigation.txt	Txt
	m_MTBLS13129_GC-MS_positive__metabolite_profiling_v2_maf.tsv	Tabular
	m_MTBLS13129_LC-MS_positive_reverse-phase_metabolite_profiling_v2_maf.tsv	Tabular

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Comprehensive Metabolite Characterization of Beejamrit Using GC–MS and LC–MS

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