Rapid determination of puerarin by near-infrared spectroscopy during percolation and concentration process of puerariae lobatae radix

Xue Jintao; Yang Quanwei; Jing Yun; Liu Yufei; Li Chunyan; Yang Jing; Wu Yanfang; Li Peng; Wan Guangrui

Articles

Abstract

Pharmacognosy Magazine,2016,12,47,188-192.

DOI:10.4103/0973-1296.186350

Published:July 2016

Type:Original Article

Authors:

Author(s) affiliations:

Xue Jintao¹, Yang Quanwei², Jing Yun¹, Liu Yufei¹, Li Chunyan³, Yang Jing⁴, Wu Yanfang¹, Li Peng¹, Wan Guangrui¹
¹ Department of TCM, School of Pharmacy, Xinxiang Medical University, Xinxiang, PR China
² Department of pharmacy, Wu Han NO.1 Hospital, Wuhan, Hubei Province, PR China
³ Department of TCM, School of Pharmacy, Xinxiang Medical University; Department of pharmacy, Sanquan Medical College, Xinxiang, PR China
⁴ Department of pharmacy, Puyang Health School, Puyang, Henan Province, PR China

Abstract:

Background: Gegen (Puerariae Labatae Radix) is one of the important medicines in Traditional Chinese Medicine. The studies showed that Gegen and its preparation had effective actions for atherosclerosis. Objective: Near-infrared (NIR) was used to develop a method for rapid determination of puerarin during percolation and concentration process of Gegen. Materials and Methods: About ten batches of samples were collected with high-performance liquid chromatography analysis values as reference, calibration models are generated by partial least-squares (PLS) regression as linear regression, and artificial neural networks (ANN) as nonlinear regression. Results: The root mean square error of prediction for the PLS and ANN model was 0.0396 and 0.0365 and correlation coefficients (r²) was 97.79% and 98.47%, respectively. Conclusions: The NIR model for the rapid analysis of puerarin can be used for on-line quality control in the percolation and concentration process.