Discrimination of Syzygium samarangense cv. ‘Giant Green’ Leaves at Different Maturity Stages by FTIR and GCMS Fingerprinting

‘Giant Green’ is one of the Syzygium samarangense cultivars planted throughout Malaysia because it has great potential for benefitting human health. However, its variation in chemical compounds, especially leaves at different maturity stages, cannot be systematically discriminated. Hence, Fourier transform infrared spectroscopy (FTIR) and gas chromatography–mass spectrometry (GCMS) coupled with chemometric tools were applied to discriminate between stages leaves, namely, young, mature, old leaves. The variability among samples was evaluated by using principal component analysis (PCA) hierarchical clustering (HCA) techniques. For discrimination, partial least squares discrimination (PLS-DA) applied, then (PLS) used determine correlation biological activities (antioxidant alpha-glucosidase inhibitory assay) As a result, PCA, HCA, PLS-DA FTIR GC-MS data showed separation clusters Additionally, PLS result demonstrated that young strong metabolite quantities activities. findings this study revealed analyses can as rapid method bioactive structural functions relation their activity.