Quantifying several adulterants of notoginseng powder by near-infrared spectroscopy and multivariate calibration

被引:36
作者
Chen, Hui [1 ,2 ]
Tan, Chao [1 ]
Lin, Zan [3 ]
Li, Hongjin [1 ]
机构
[1] Yibin Univ, Key Lab Proc Anal & Control Sichuan Univ, Yibin 644000, Sichuan, Peoples R China
[2] Yibin Univ, Yibin 644000, Sichuan, Peoples R China
[3] Chongqing Med Univ, Affiliated Hosp 1, Chongqing 400016, Peoples R China
基金
中国国家自然科学基金;
关键词
Notoginseng; Adulteration; Near-infrared; Calibration; VARIABLE SELECTION; PANAX-NOTOGINSENG; DISCRIMINATION; QUANTIFICATION; CLASSIFICATION; SAPONINS; ORIGINS; GINSENG; MILK;
D O I
10.1016/j.saa.2018.12.003
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
The authentication of traditional Chinese medicine (TCM) is critically important for public-health and economic terms. Notoginseng, a classical TCM of high economic and medical value, could be easily adulterated with Sophora flavescens powder (SFP), corn flour (CF) or other analogues of low-grade (ALG) because of their similar tastes, appearances and much lower cost. The main objective of this study was to evaluate the feasibility of applying of near-infrared (NIR) spectroscopy and multivariate calibration for identifying and quantifying several common adulterants in notoginseng powder. Two datasets were prepared for experiment. The competitive adaptive reweighted sampling (CARS) was used to select informative variables, Two different schemes were used for sample set partition. Model population analysis (MPA) was made, The results showed that, the constructed partial least squares (PCS) model using a reduced set of variables from CARS can provide superior performance to the full-spectrum PLS model. Also, the sample set partition is very of great importance. It seems that the combination of NIR spectroscopy, CARS and PIS is feasible to quantify common adulterants in notoginseng powder. (C) 2018 Elsevier BM, All rights reserved.
引用
收藏
页码:280 / 286
页数:7
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