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Spectral correlative chromatography and its application to analysis of chromatographic fingerprints of herbal medicines

✍ Scribed by Bo-Yan Li; Yun Hu; Yi-Zeng Liang; Lan-Fang Huang; Cheng-Jian Xu; Pei-Shan Xie

Publisher
John Wiley and Sons
Year
2004
Tongue
English
Weight
460 KB
Volume
27
Category
Article
ISSN
1615-9306

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✦ Synopsis

Abstract

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.

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