Study on determination of multi-ingredient contents in Yinchen Wuling Powder based on HPLC fingerprinting and chemical pattern recognition techniques
10.3760/cma.j.cn115398-20240321-00270
- VernacularTitle:基于HPLC指纹图谱和化学模式识别技术的茵陈五苓散中多成分含量测定研究
- Author:
Lijuan ZHAO
1
;
Yanyun WEI
;
Liang GUO
;
Xiaoyan XU
;
Xinbo PAN
Author Information
1. 兰州市第二人民医院肝病研究所,兰州 730046
- Keywords:
Yin Chen Wu Ling San;
Assay (TCD);
Fingerprints;
Wavelength switching;
Chlorogenic acid;
Cinnamaldehyde;
Chemical pattern recognition
- From:
International Journal of Traditional Chinese Medicine
2025;47(2):221-228
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To establish the HPLC fingerprints and multi-component content determination method of Yinchen Wuling Powder; To evaluate the quality of Yinchen Wuling Powder combined with chemical pattern recognition technology.Methods:A wavelength-switching HPLC method was used to establish the fingerprint profiles of different batches of Yinchen Wuling Powder and determine the contents of seven components of neochlorogenic acid, chlorogenic acid, isochlorogenic acid B, isochlorogenic acid A, isochlorogenic acid C, cinnamic acid, cinnamaldehyde. Principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were applied to evaluate the quality. Quality difference biomarkers were screened.Results:The fingerprint profiles of 24 batches of Yinchen Wuling Powder were identified with 20 common peaks, and 7 components were recognized. The similarity between the 24 batches of samples and the control profile was 0.966-0.994, and the attribution analysis showed that peaks 1, 2, 3 were common to Artemisia Scoparia and Alismatis Rhizoma. Chromatographic peaks 4 (neochlorogenic acid), 5, 6, 7 (chlorogenic acid), 8, 9, 10, 11, 12, 13, 14 (isochlorogenic acid B), 15 (isochlorogenic acid A), 16 (isochlorogenic acid C), and 19 were from Artemisia Scoparia, and peaks 17, 18 and 20 were from Cinnamomi Ramulus. Principal component analysis classified the 24 batches of samples into 4 categories, and partial least squares discriminant analysis was used to determine 11 quality difference biomarkers, including isochlorogenic acid B and neochlorogenic acid.Conclusions:The established method of determining fingerprint and multi-component content is accurate and with good repeatability. The results can provide a certain basis for the quality evaluation of Yinchen Wuling Powder.