Rapid determination of puerarin by near-infrared spectroscopy during percolation and concentration process of <i>puerariae</i> lobatae radix :Xue Jintao, Yang Quanwei, Jing Yun, Liu Yufei, Li Chunyan, Yang Jing, Wu Yanfang, Li Peng, Wan Guangrui, Pharmacognosy Magazine

ORIGINAL ARTICLE
Year : 2016 | Volume : 12 | Issue : 47 | Page : 188--192

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

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

Correspondence Address:
Wan Guangrui
School of Pharmacy, Xinxiang Medical University, Xinxiang, Henan Province
PR China

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. SUMMARY

Near-infrared was used to develop a method for on.line quality control in the percolation and concentration process of Gegen
Calibration models are generated by partial least.squares.(PLS) regression as linear regression and artificial neural networks.(ANN) as non.linear regression
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.

Abbreviations used: NIR: Near-Infrared Spectroscopy; Gegen: Puerariae Loabatae Radix; TCM: Traditional Chinese Medicine; PLS: Partial least-squares; ANN: Artificial neural networks; RMSEP: Root mean square error of validation; R2: Correlation coefficients; PAT: Process analytical technology; FDA: The Food and Drug Administration; Rcal: Calibration set; RMSECV: Root mean square errors of cross-validation; RPD: Residual predictive deviation; SLS: Straight Line Subtraction; MLP: Multi-Layer Perceptron; MSE: Mean square error. Wan Guangrui

How to cite this article:
Jintao X, Quanwei Y, Yun J, Yufei L, Chunyan L, Jing Y, Yanfang W, Peng L, Guangrui W. Rapid determination of puerarin by near-infrared spectroscopy during percolation and concentration process of puerariae lobatae radix.Phcog Mag 2016;12:188-192

How to cite this URL:
Jintao X, Quanwei Y, Yun J, Yufei L, Chunyan L, Jing Y, Yanfang W, Peng L, Guangrui W. Rapid determination of puerarin by near-infrared spectroscopy during percolation and concentration process of puerariae lobatae radix. Phcog Mag [serial online] 2016 [cited 2022 May 28 ];12:188-192
Available from: http://www.phcog.com/article.asp?issn=0973-1296;year=2016;volume=12;issue=47;spage=188;epage=192;aulast=Jintao;type=0