Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24236
Title: Alternative moving window factor analysis for comparison analysis between complex chromatographic data
Authors: Zeng, ZD
Liang, YZ
Wang, YL
Li, XR
Liang, LM
Xu, QS
Zhao, CX
Li, BY
Chau, FT
Keywords: Alternative moving window factor analysis (AMWFA)
Angelica
Drug pair
Metabolic analysis
Multi-component spectral correlative chromatography (MSCC)
Rhizoma ligustici chuanxiong-radix paeoniae rubra (RLC-RPR)
Issue Date: 2006
Publisher: Elsevier Science Bv
Source: Journal of chromatography a, 2006, v. 1107, no. 1-2, p. 273-285 How to cite?
Journal: Journal of Chromatography A 
Abstract: 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.
URI: http://hdl.handle.net/10397/24236
ISSN: 0021-9673
DOI: 10.1016/j.chroma.2005.12.015
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