Chemometric Approach for Profiling of Metabolites of Potential Antioxidant Activity in Apiaceae Species Based on LC-PDA-ESI-MS/MS and FT-NIR

Chemometrics is a tool for data mining and unlocking the door solving big queries. Apiaceae family species which commonly cultivated worldwide. Although members of this are widely used as antioxidant, antibacterial, antifungal, anti-inflammatory agents, their metabolites profiling remains ambiguous. Based on WHO support, chemometrics has been in evaluating quality authenticity herbal products. The objective study to profile characterize phenolic nine from Egyptian cultivars three different German using multivariate analysis after LC-PDA-ESI-MS/MS near infrared spectroscopy generated. Principal component was successfully applied distinguish between cultivars, hierarchical cluster also confirmed distinctive clustering. Partial least square regression (PLS-R) models showed relationship phytochemicals antioxidant activities. responsible clustering pattern variables important projection (VIP) were identified, being twelve amongst cultivar samples thirteen comparison. identified VIPs correlated with activity PLS-R. In conclusion, novelty application hyphenated analytical techniques that assist control medicine.