Quality Assessment of Canavalia gladiata Using an Integrated HPLC Fingerprinting-Chemometric Pattern Recognition-Multi-Component Quantification Strategy
摘要
To establish an HPLC fingerprint for Canavalia gladiata (Jacq.) DC., Fabaceae, determine the content of multiple marker components, and perform chemometric analysis. Chromatographic separation was performed on a Cosmosil 5C18 column (4.6 mm × 250 mm, 5 μm) at a detection wavelength of 270 nm and column temperature of 25 °C. The mobile phase consisted of acetonitrile (A) and 0.2% acetic acid in water (B) at a flow rate of 1 ml/min under gradient elution conditions. The HPLC fingerprint was established based on 15 batches of C. gladiata samples. Chemometric analysis was conducted using SPSS version 27.0 and SIMCA version 14.1 software. The content of target components was determined. The HPLC fingerprint of C. gladiata was successfully established, identifying 11 common peaks. Three components—gallic acid, l-tryptophan, and methyl gallate—were identified by comparison with reference standards. The similarity indices among the 15 batches ranged from 0.993 to 0.999. Chemometric analysis revealed that the batches could be clearly classified into two distinct groups. Orthogonal Partial Least Squares-Discriminant Analysis further identified peaks 6, 7, 8, 9, 10, and 11 as the primary markers responsible for batch-to-batch variation. The established HPLC fingerprint and content determination method exhibited good peak resolution and high stability. Combined with chemometrics, this integrated approach different batches of C. gladiata.
Graphical Abstract