Correlation between active component content and color of Atractylodes Lancea and A. chinensis based on color difference principle.
10.19540/j.cnki.cjcmm.20230115.104
- Author:
Jia-Xin FENG
1
;
Yu-Zhu WU
2
;
Si-Yu LI
1
;
An CHANG
1
;
Qiu-Xiang YU
1
;
Hui ZHANG
1
Author Information
1. School of Pharmacy, Liaoning University of Traditional Chinese Medicine Dalian 116600, China.
2. Liaoning Food Inspection and Testing Institute Shenyang 110068, China.
- Publication Type:Journal Article
- Keywords:
Atractylodes chinensis;
Atractylodes lancea;
content determination;
tristimulus values
- MeSH:
Atractylodes;
Sesquiterpenes, Eudesmane;
Drugs, Chinese Herbal;
Rhizome;
Excipients
- From:
China Journal of Chinese Materia Medica
2023;48(8):2086-2091
- CountryChina
- Language:Chinese
-
Abstract:
We explored the correlations between the color difference values [ΔL~*(lightness), Δa~*(red-green), Δb~*(yellow-blue)] and the content of four active components(including sesquiterpenoids and polyacetylenes) in the powder of Atractylodes lancea and A. chinensis, aiming to provide reference for the quality evaluation of Atractylodis Rhizoma and establish a qualitative model that can distinguish between A. lancea and A. chinensis based on the chromatic values. The tristimulus values(L~*, a~*, and b~*) of 23 batches of A. lancea and A. chinensis were measured by a color difference meter. The content of atractylenolide Ⅱ, β-eudesmol, atractylodin, and atractylone in the 23 batches of samples were measured by high performance liquid chromatography(HPLC). Principal component analysis(PCA) and partial least squares-discriminant analysis(PLS-DA) were performed to establish the qualitative models for distinguishing between A. lancea and A. chinensis. SPSS was employed to analyze the correlations between the tristimulus values and the content of the four index components. The results showed that the established PCA and PLS-DA models can divide the A. lancea and A. chinensis samples into two regions, and the tristimulus values of A. lancea and A. chinensis were positively correlated with the content of β-eudesmol and atractylodin. Therefore, the PCA and PLS-DA models can successfully identify A. lancea and A. chinensis, and the appearance color can be used to quickly predict the internal quality of Atractylodis Rhizoma. This study provides a reference for the quality evaluation of Atractylodis Rhizoma and the modern research on the color of Chinese medicinal materials.
