Quantitative HPLC-DAD Analysis and α-Glucosidase Inhibitory Activity of Major Compounds from the Stems and Pericarpium of Punica granatum L.

Punica granatum L. has been widely used in traditional medicine and is known to contain bioactive ellagitannins with potential antidiabetic properties. The primary objective of this study was to develop and validate a reliable HPLC-DAD method for the quantitative analysis of major compounds isolated from stems and pericarpium of P. granatum, namely pedunculagin (1), flavogallonic acid (2), casuarinin (3), isocorilagin (4), methyl brevifolincarboxylate (5), eschweilenol C (6), ellagic acid-4-O-β-D-xylopyranoside (7), ellagic acid (8), and quercitrin (9), and to futher evaluate their α-glucosidase inhibitory activity. The analytical method demonstrated linearity with correlation coefficients (R²) exceeding 0.9991. The limits of detection (LOD) and limits of quantification (LOQ) ranged from 2.75 to 7.44 μg/mL and 8.33 to 22.54 μg/mL, respectively. Intra-day and inter-day precision showed relative standard deviation (RSD) values below 2.85% and 2.72%, while recovery values ranged from 96.87% to 107.72%, confirming the accuracy and reliability of the method. Quantitative results revealed that ellagitannins were the predominant constituents in both stems and pericarpium of P. granatum. Biological evaluation demonstrated that several isolated compounds exhibited strong α-glucosidase inhibitory activity, with compounds 1–3 showing significantly stronger activity than the reference inhibitor acarbose. Enzyme kinetic studies and molecular docking analyses were conducted to clarify their inhibition mechanisms, revealing mixed, uncompetitive and competitive inhibition modes associated with binding to catalytic or allosteric sites of the enzyme. This study integrates quantitative analysis with mechanistic enzyme inhibition evaluation, providing a practical analytical tool for quality control of P. granatum and scientific evidence supporting its potential application in antidiabetic therapy.