Rapid prediction of flavonoid content in Epimedium sagittatum by infrared spectroscopy.
10.19540/j.cnki.cjcmm.20220809.102
- Author:
Chun-Mei WEN
1
;
Chen-Wu ZHANG
2
;
Rong XU
3
;
Chao-Qun XU
3
;
Guo-An SHEN
3
;
Feng-Mei SUO
3
;
Bao-Lin GUO
3
Author Information
1. Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College Beijing 100193, China Jiangxi University of Chinese Medicine Nanchang 330004, China.
2. Shanxi Pharmaceutical Vocational College Taiyuan 030031, China.
3. Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College Beijing 100193, China.
- Publication Type:Journal Article
- Keywords:
Epimedium sagittatum;
UPLC;
flavonoid;
infrared spectrum;
partial least squares method;
quantitative analysis
- MeSH:
Epimedium/chemistry*;
Flavonoids/chemistry*;
Plant Leaves;
Least-Squares Analysis;
Spectrophotometry, Infrared
- From:
China Journal of Chinese Materia Medica
2022;47(22):6020-6026
- CountryChina
- Language:Chinese
-
Abstract:
Epimedii Folium is a well-known Chinese herbal medicine with the effect of nourishing kidney and strengthening Yang. Its main active ingredients are flavonoids. In this study, 60 samples of Epimedium sagittatum were collected for the determination of total flavonoids(TF) including the total amount of epimedin A, epimedin B, epimedin C, and icariin(abbreviated as ABCI) specified in the Chinese Pharmacopoeia as well as rhamnosylicariside Ⅱ and icariside Ⅱ. The calibration parameters of "first derivativemultiva-riate scattering correction in 1 900-650 cm~(-1) band(4-point smoothing)" and "first derivativestandard normal variable correction in 4 000-650 cm~(-1) full band(4-point smoothing)" were confirmed respectively. The quantitative model was established via Fourier infrared spectroscopy plus attenuated total reflection(FTIR-ATR) accessory combined with partial least squares(PLS) method and then used to predict the flavonoid content of 11 validation sets. The average prediction accuracy for ABCI in calibration set and validation set was 98.985% and 96.087%, respectively. The average prediction accuracy for TF in calibration set and validation set was 98.998% and 94.771%, respectively. These results indicated that FTIR-ATR combined with PLS model could be used for rapid prediction of flavonoid content in E. sagittatum, with the prediction accuracy above 94.7%. The establishment of this method provides a new solution for the detection of a large number of E. sagittatum samples.
