Rapid quantification of adulterated Panax notoginseng powder by ultraviolet-visible diffuse reflectance spectroscopy combined with chemometrics
作者：Xihui Bian*, Rongling Zhang, Jing Wang, Peng Liu, Ligang Lin, Xiaoyao Tan
關鍵字：Panax notoginseng, adulteration, partial least squares, ultraviolet-visible spectroscopy, variable selection, spectral preprocessing
論文來源：期刊
具體來源：Chinese Journal of Analytical Chemistry, 2022, 50 (3): 10005
發表時間：2022年
As a valuable traditional Chinese medicine (TCM), Panax notoginseng (PN) is often adulterated with similar and much cheaper adulterants, such as rhizoma curcumae (RC), Curcuma longa (CL) and rhizoma alpiniae officinarum (RAO). The feasibility of ultraviolet-visible (UV-Vis) diffuse reflectance spectroscopy combined with chemometrics is investigated for rapid quantitative analysis of adulterated PN powder. Partial least squares (PLS) is used for calibration modeling. To avoid over-fitting of PLS, the Haaland-Thomas F-test is introduced to determine the optimal number of latent variables (LVs). For further improving the predictive performance of PLS model, six preprocessing and three variable selection methods are investigated. Results show that correlation coefficients (Rp) of the optimal models for PN and its three adulterants in prediction set are all above 0.98. Thus, UV-Vis diffuse reflectance spectroscopy combined with chemometrics provides an economic alternative for rapid and non-destructive quantification of adulterated PN samples.