Spectral correlative chromatography and its application to analysis of chromatographic fingerprints of herbal medicines.
A signal-processing method known as spectral correlative chromatography (SCC) for two-dimensional data obtained from hyphenated chromatography is developed and applied to chemical chromatographic fingerprint data sets of herbal medicine under specific experimental conditions. The method can judge the presence or absence of a spectral correlative peak among the spectrochromatograms. A local least squares regression model (LLS) is constructed in a piecewise manner to correct the shifts of retention time of some peaks of interest in the chromatograms of various test samples. The results compare favorably with those obtained by a two-point calibrated algorithm. It is shown that performing SCC and LLS on the piecewise clusters of various chromatographic fingerprints is more helpful in practice in revealing their common nature and for characterizing the chemical constituents. This approach holds great potential for facilitating quality control of herbal medicines.
Li
Bo-Yan
BY
College of Chemistry and Chemical Engineering, Research Center of Modernization of Chinese Herbal Medicines, Central South University, Changsha 410083, P.R. China.
Hu
Yun
Y
Liang
Yi-Zeng
YZ
Huang
Lan-Fang
LF
Xu
Cheng-Jian
CJ
Xie
Pei-Shan
PS
D002845:Chromatography / Q000379:methods; D002851:Chromatography, High Pressure Liquid / Q000379:methods; D008401:Gas Chromatography-Mass Spectrometry / Q000379:methods; D016018:Least-Squares Analysis; D028321:Plant Preparations / Q000737:chemistry*; D012997:Solvents
D028321:Plant Preparations; D012997:Solvents