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.

Highlights

  • IntroductionThe dried root and rhizome of Panax ginseng C.A. Meyer, [1] is one of the most famous and valuable traditional Chinese herbs in Asia

  • Ginseng, the dried root and rhizome of Panax ginseng C.A

  • Ginsenosides can be classified into three types: the 20(S)protopanaxadiol type such as ginsenoside Rb1, Rc, Rb2, and Rd, the 20(S)-protopanaxatriol type such as ginsenoside Rg1 and Re, and the oleanolic acid type including ginsenoside Ro and polyacetyleneginsenoside Ro, respectively

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Summary

Introduction

The dried root and rhizome of Panax ginseng C.A. Meyer, [1] is one of the most famous and valuable traditional Chinese herbs in Asia. Meyer, [1] is one of the most famous and valuable traditional Chinese herbs in Asia In recent years, it has been widely used for making functional foods in many other countries like in Europe and in the USA. Ginsenosides have been found to play an important role in the central nervous system. These diseases are prevalent all over the world, which include Alzheimer’s disease, Parkinson’s disease, cerebral ischemia, depression, and many other neurological disorders including neurodevelopmental disorders [6]

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