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Comparative visualization for comprehensive two-dimensional gas chromatography
This paper investigates methods for comparing datasets produced by comprehensive two-dimensional gas chromatography (GC × GC). Chemical comparisons are useful for process monitoring, sample classification or identification, correlative determinations, and other important tasks. GC × GC is a powe...
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Published in: | Journal of Chromatography A 2006-02, Vol.1105 (1), p.51-58 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | This paper investigates methods for comparing datasets produced by comprehensive two-dimensional gas chromatography (GC
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GC). Chemical comparisons are useful for process monitoring, sample classification or identification, correlative determinations, and other important tasks. GC
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GC is a powerful new technology for chemical analysis, but methods for comparative visualization must address challenges posed by GC
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GC data: inconsistency and complexity. The approach extends conventional techniques for image comparison by utilizing specific characteristics of GC
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GC data and developing new methods for comparative visualization and analysis. The paper describes techniques that register (or align) GC
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GC datasets to remove retention-time variations; normalize intensities to remove sample amount variations; compute differences in local regions to remove slight misregistrations and differences in peak shapes; employ color (hue), intensity, and saturation to simultaneously visualize differences and values; and use tools for masking, three-dimensional visualization, and tabular presentation with controls for graphical highlights to significantly improve comparative analysis of GC
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GC datasets. Experimental results indicate that the comparative methods preserve chemical information and support qualitative and quantitative analyses. |
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ISSN: | 0021-9673 |
DOI: | 10.1016/j.chroma.2005.11.074 |