Alternative moving window factor analysis for comparison analysis between complex chromatographic data.
In this investigation, a novel chemometric method is developed for the analysis of five possible relationships of components or spectral features between two correlative but different hyphenated chromatographic systems. It is very helpful for comparison study of components present in different complex systems in both chemistry and systems biology. The proposed method, named alternative moving window factor analysis (AMWFA), could be utilized to determine the number of common components between different samples and then to identify their corresponding spectra half-automatically. AMWFA can alternatively be employed to mind for the selective information hiding in anyone of the two compared data X and Y, and to self-verify the resolution results by changing the extracted target matrices in analysis. From the results of comparison of simulated hyphenated chromatographic data, volatile chemical components in drug pair rhizoma ligustici chuanxiong-radix paeoniae rubra (RLC-RPR) and its single herbal medicines, and analysis of Angelica oral solution and its plasma sample after oral intake to rabbit, powerful ability of the proposed method is shown.
Zeng
Zhong-Da
ZD
College of Chemistry and Chemical Engineering, Research Center of Modernization of Chinese Medicines, Central South University, Changsha 410083, China.
Liang
Yi-Zeng
YZ
Wang
Ya-Li
YL
Li
Xiao-Ru
XR
Liang
Lu-Ming
LM
Xu
Qing-Song
QS
Zhao
Chen-Xi
CX
Li
Bo-Yan
BY
Chau
Foo-Tim
FT
D029969:Angelica / Q000737:chemistry; D000818:Animals; D005163:Factor Analysis, Statistical; D008401:Gas Chromatography-Mass Spectrometry / Q000379:methods*; D010936:Plant Extracts / Q000008:administration & dosage; D011817:Rabbits
D010936:Plant Extracts