Rapid prediction of praeruptorin A in Peucedani Radix based on NIRS

Objective Near infrared spectroscopy (NIRS) was used to establish the quantitative detection model of the praeruptorin A in Peucedani Radix, so as to realize the rapid evaluation of the quality of Peucedani Radix.

Methods The sum of praeruptorin A in 130 Peucedani Radix samples were determined by high-performance liquid chromatography (HPLC), and the NIRS diagram was collected.The quantitative correction model of praeruptorin A in Peucedani Radix was established by least partial multiplication (PLS).

Results The root mean square error and correlation coefficient of the calibration set of this model were 0.104 7 and 0.938 0, respectively, the root mean square error and correlation coefficient of cross validation were 0.123 0 and 0.918 0, respectively.The root mean square error and correlation coefficient of the prediction set were 0.125 1 and 0.881 5, respectively.From the correction set, prediction set and cross validation results of praeruptorin A content models, the model had high prediction accuracy.

Conclusions The quantitative detection model of Peucedani Radix established by using NIRS is stable and reliable, which can realize the rapid eevaluation of the quality of Peucedani Radix in the market, and provide scientific basis for safeguarding consumers' interests and clinical safety.