title: Quantitative Analysis of Panax ginseng by FT-NIR Spectroscopy.
abstract: Near-infrared spectroscopy (NIRS), a rapid and efficient tool, was used to determine the total amount of nine ginsenosides in Panax ginseng. In the study, the regression models were established using multivariate regression methods with the results from conventional chemical analytical methods as reference values. The multivariate regression methods, partial least squares regression (PLSR) and principal component regression (PCR), were discussed and the PLSR was more suitable. Multiplicative scatter correction (MSC), second derivative, and Savitzky-Golay smoothing were utilized together for the spectral preprocessing. When evaluating the final model, factors such as correlation coefficient (R (2)) and the root mean square error of prediction (RMSEP) were considered. The final optimal results of PLSR model showed that root mean square error of prediction (RMSEP) and correlation coefficients (R (2)) in the calibration set were 0.159 and 0.963, respectively. The results demonstrated that the NIRS as a new method can be applied to the quality control of Ginseng Radix et Rhizoma.
authors.affiliation: School of Chinese Materia Medica, Beijing University of Chinese Medicine, No. 6 Wangjing Zhonghuannan Road, Beijing 100102, China.
authors.forename: Xin-Fang
authors.initials: XF
authors.lastname: Xu
authors.affiliation: National Institutes for Food and Drug Control, State Food and Drug Administration, No. 2 Tiantan Xili, Beijing 100050, China.
authors.forename: Li-Xing
authors.initials: LX
authors.lastname: Nie
authors.affiliation: School of Chinese Materia Medica, Beijing University of Chinese Medicine, No. 6 Wangjing Zhonghuannan Road, Beijing 100102, China.
authors.forename: Li-Li
authors.initials: LL
authors.lastname: Pan
authors.affiliation: School of Chinese Materia Medica, Beijing University of Chinese Medicine, No. 6 Wangjing Zhonghuannan Road, Beijing 100102, China.
authors.forename: Bian
authors.initials: B
authors.lastname: Hao
authors.affiliation: School of Chinese Materia Medica, Beijing University of Chinese Medicine, No. 6 Wangjing Zhonghuannan Road, Beijing 100102, China.
authors.forename: Shao-Xiong
authors.initials: SX
authors.lastname: Yuan
authors.affiliation: School of Chinese Materia Medica, Beijing University of Chinese Medicine, No. 6 Wangjing Zhonghuannan Road, Beijing 100102, China.
authors.forename: Rui-Chao
authors.initials: RC
authors.lastname: Lin
authors.affiliation: School of Chinese Materia Medica, Beijing University of Chinese Medicine, No. 6 Wangjing Zhonghuannan Road, Beijing 100102, China.
authors.forename: Hai-Bo
authors.initials: HB
authors.lastname: Bu
authors.affiliation: School of Chinese Materia Medica, Beijing University of Chinese Medicine, No. 6 Wangjing Zhonghuannan Road, Beijing 100102, China.
authors.forename: Dan
authors.initials: D
authors.lastname: Wang
authors.affiliation: School of Chinese Materia Medica, Beijing University of Chinese Medicine, No. 6 Wangjing Zhonghuannan Road, Beijing 100102, China.
authors.forename: Ling
authors.initials: L
authors.lastname: Dong
authors.affiliation: School of Chinese Materia Medica, Beijing University of Chinese Medicine, No. 6 Wangjing Zhonghuannan Road, Beijing 100102, China.
authors.forename: Xiang-Ri
authors.initials: XR
authors.lastname: Li