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Fig. 3 (A). Principal component analysis (PCA), score plot. Two-dimensional (2D) PCA scores plot demonstrates statistical clustering for C. sativa inflorescences cultivars. (B). Principal component analysis (PCA), biplot. A biplot provides information on both metabolites and samples of a data matrix to be displayed graphically. Metabolites grouped at the origin of the graph do not contribute to samples variability. (C). Hierarchical clustering (HCA). It shows the dendrogram based on Euclidean distance. (D). PLS-DA and variable importance in projection (VIP) plot. It displays the top 10 most important metabolite features identified by PLS-DA. Colored boxes on right indicate relative mean percentage of corresponding metabolite for C. sativa inflorescences. VIP is a weighted sum of squares of the PLS-DA loadings considering the amount of explained Y-variable in each dimension.

Cicaloni, V.; Salvini, L.; Vitalini, S.; Garzoli, S. (2022). "Chemical profiling and characterization of different cultivars of Cannabis sativa L. inflorescences by SPME-GC-MS and UPLC-MS". Separations 9 (4): 90. doi:10.3390/separations9040090. 

2022

Cicaloni, V.; Salvini, L.; Vitalini, S.; Garzoli, S.

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