HPLC fingerprint and UV–Vis spectroscopy coupled with chemometrics for Curcumae radix species discrimination and three bioactive compounds prediction

•HPLC fingerprints of single species and full samples were separately developed.•UV–Vis spectra showed there were three peaks in Huangyujin and one in others.•Discrimination models were respectively established based on the two techniques.•Quantification models based on UV–Vis spectra were used to d...

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Bibliographic Details
Published in:Microchemical journal 2021-07, Vol.166, p.106254, Article 106254
Main Authors: Wang, Le, Ren, Xueyang, Wang, Yu, Liu, Xiaoyun, Dong, Ying, Ma, Jiamu, Song, Ruolan, Yu, AXiang, Wei, Jing, Fan, Qiqi, Wang, Xiuhuan, She, Gaimei
Format: Article
Language:English
Subjects:
Chemometrics
Curcumae Radix
HPLC fingerprint
Quantification
Species discrimination
UV–Vis spectroscopy
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Summary:•HPLC fingerprints of single species and full samples were separately developed.•UV–Vis spectra showed there were three peaks in Huangyujin and one in others.•Discrimination models were respectively established based on the two techniques.•Quantification models based on UV–Vis spectra were used to determine three compounds. Curcumae Radix with four botanical origins (Wenyujin, Huangyujin, Guiyujin, Lvyujin) has a long medical history in China. The four species have not been differentiated well in clinical application, though there were differences in pharmacological effects among them. For the aim of fast discrimination and quantitative analysis of Yujin, HPLC (high performance liquid chromatography) fingerprint and UV–Vis (ultraviolet–visible) spectroscopy technologies coupled with chemometrics were employed. The HPLC fingerprints of 26 Guiyujin, 11 Huangyujin, 11 Lvyujin, 29 Wenyujin and full 77 samples were separately established, with good similarities among same species except Wenyujin and poor consistence in full samples. UV–Vis spectra showed obvious three absorption peaks in the spectra of Huangyujin samples and only one in that of the rest samples. LDA (linear discriminant analysis) and Bagged Trees models established based on HPLC fingerprint data attained higher than 90% discrimination accuracy. Based on the spectral data, complete separation for the four species of Yujin was failed to achieve by PCA (principal component analysis), and the KNN (k-nearest neighbors) and SVM (support vector machine) models achieved no
ISSN:0026-265X
1095-9149
DOI:10.1016/j.microc.2021.106254