Legume Fingerprinting through Lipid Composition: Utilizing GC/MS with Multivariate Statistics
Marko Ilić,
Kristian Pastor,
Aleksandra Ilić
et al.
Abstract:This study presents a tentative analysis of the lipid composition of 47 legume samples, encompassing species such as Phaseolus spp., Vicia spp., Pisum spp., and Lathyrus spp. Lipid extraction and GC/MS (gas chromatography with mass spectrometric detection) analysis were conducted, followed by multivariate statistical methods for data interpretation. Hierarchical Cluster Analysis (HCA) revealed two major clusters, distinguishing beans and snap beans (Phaseolus spp.) from faba beans (Vicia faba), peas (Pisum sat… Show more
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