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 compl...
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Published in: | Journal of Chromatography A Vol. 1107; no. 1; pp. 273 - 285 |
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Main Authors: | , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Amsterdam
Elsevier B.V
24-02-2006
Elsevier |
Subjects: | |
Online Access: | Get full text |
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Summary: | 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. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0021-9673 |
DOI: | 10.1016/j.chroma.2005.12.015 |