Fast discrimination of the geographical origins of notoginseng by near-infrared spectroscopy and chemometrics

Journal of Pharmaceutical and Biomedical Analysis
Hui ChenChao Tan

Abstract

Notoginseng is a type of highly valued Traditional Chinese medicine (TCM) due to its hemostatic and cardiovascular functions. Notoginseng of Yunnan in China usually commands a premium price and is often the subject of fraudulent practices. The feasibility of combining near-infrared (NIR) spectroscopy with chemometrics was investigated to discriminate notoginseng of different geographical origins. A total of 250 samples of four different provinces in China were collected and divided equally into the training and test sets. Principal component analysis (PCA) was used for observing possible trend of grouping. Two chemometric algorithms including partial least squares-discriminant analysis (PLSDA) and soft independent modeling of class analogy (SIMCA) were used to construct the discriminant models. Standard normal variate (SNV) and first derivative were used for pre-processing spectra. On the independent test set, the PLSDA model outperforms the SIMCA model. When combining both pre-processing methods, the constructed PLSDA model achieved 100% sensitivity and 100% specificity on both the training set and the test set. It indicates that SNV+first derivative pre-processing and PLSDA algorithm can serve as the potential tool of fast di...Continue Reading

Citations

Mar 14, 2020·Critical Reviews in Analytical Chemistry·Jiaqi YueYuanzhong Wang
Jul 25, 2019·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Tao ShenYuan-Zhong Wang
Oct 28, 2019·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Benedito Roberto de Alvarenga Junior, Renato Lajarim Carneiro
Jan 14, 2021·Journal of Ginseng Research·Yuangui YangZhengtao Wang
Jul 1, 2020·Journal of Pharmaceutical and Biomedical Analysis·Yuanru ZhengLinzhong Yu
May 7, 2021·Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy·Yue SunLei Nie

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