Restoration for comprehensive two-dimensional gas chromatography

This paper develops an approach for restoration of data from comprehensive two-dimensional gas chromatography (GCtimesGC), a powerful new technology for chemical separations. GCtimesGC restoration is required to separate coeluting (i.e., overlapping) peaks. The GCtimesGC process is modeled as a two-...

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Bibliographic Details
Published in2005 IEEE International Conference on Electro Information Technology pp. 6 pp. - 6
Main Authors Jiazheng Shi, Reichenbach, S.E.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Chemical analysis
Chemical compounds
Chemical technology
Deconvolution
Gas chromatography
Iterative methods
Linear systems
Power system modeling
Power system restoration
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Summary:This paper develops an approach for restoration of data from comprehensive two-dimensional gas chromatography (GCtimesGC), a powerful new technology for chemical separations. GCtimesGC restoration is required to separate coeluting (i.e., overlapping) peaks. The GCtimesGC process is modeled as a two-dimensional linear, shift-variant system, based on the properties of chemical compounds and gas chromatography. The model can account for nonhomogeneous peak shapes and separability of the two instrument columns. The restoration problem is formulated to minimize the difference between observed GCtimesGC data and an ideal separation, subject to the physically meaningful constraints: nonnegativity, volume preservation, and unimodality. The paper develops a constrained alternating least-squares (CALS) method for solving the restoration problem. Experimental results based on simulation and real GCtimesGC data indicate that the proposed model and CALS method perform well for GCtimesGC restoration
ISBN:0780392329
9780780392328
ISSN:2154-0357
2154-0373
DOI:10.1109/EIT.2005.1627048