| Abstrakt: |
A recent study conducted by researchers at the University of Novi Sad in Serbia explored the lipid composition of 47 legume samples using gas chromatography with mass spectrometric detection (GC/MS) and multivariate statistical methods. The study successfully differentiated between different legume species, such as beans, snap beans, faba beans, peas, and grass peas, using hierarchical cluster analysis, principal component analysis, and linear discriminant analysis. The researchers identified specific compounds, such as squalene and fatty acid methyl esters, that played a significant role in the clustering of beans and snap beans. This research demonstrates the effectiveness of lipid analysis combined with multivariate statistics for accurately classifying and differentiating legumes based on their botanical origins. [Extracted from the article] |
