Multicomponent spectral correlative chromatography applied to complex herbal medicines.
In this study, a novel chemometric algorithm is presented to facilitate the comparison of relevant chemical components from different herbal samples. This so-called multicomponent spectral correlative chromatography (MSCC) is developed to detect and decide whether two chromatographic clusters are correlated spectrally with each other. The target chromatographic cluster is first partitioned from one herbal spectrochromatogram obtained by hyphenated chromatography. Then, a projection operator is constructed with the principal spectral features extracted from the target to judge the presence or absence of a spectral correlative chromatographic cluster within another herbal spectrochromatogram. For this judgment, congruence coefficient between the original spectral vector and its projected residual is proposed to eliminate the influences from background and noises, especially heteroscedastic noises in the original data. The performance of the MSCC algorithm is demonstrated on both simulated data and real data, and its advantages and disadvantages are also discussed in some detail.
Hu
Yun
Y
College of Chemistry and Chemical Engineering, Research Center of Modernization of Chinese Herbal Medicines, Central South University, Changsha 410083, People's Republic of China.
Liang
Yi-Zeng
YZ
Li
Bo-Yan
BY
Li
Xiao-Ning
XN
Du
Yi-Ping
YP
D000465:Algorithms; D002845:Chromatography / Q000379:methods*; D008401:Gas Chromatography-Mass Spectrometry; D029001:Herbal Medicine; D008433:Mathematics; D010946:Plants, Medicinal / Q000737:chemistry*; D032141:Schisandra / Q000737:chemistry; D013057:Spectrum Analysis / Q000379:methods*