TY - GEN
T1 - Restoration for comprehensive two-dimensional gas chromatography
AU - Shi, Jiazheng
AU - Reichenbach, Stephen E.
PY - 2005
Y1 - 2005
N2 - This paper develops an approach for restoration of data from comprehensive two-dimensional gas chromatography (GCxGC), a powerful new technology for chemical separations. GCxGC restoration is required to separate coeluting (i.e., overlapping) peaks. The GCxGC 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 GCxGC 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 GCxGC data indicate that the proposed model and CALS method perform well for GCxGC restoration.
AB - This paper develops an approach for restoration of data from comprehensive two-dimensional gas chromatography (GCxGC), a powerful new technology for chemical separations. GCxGC restoration is required to separate coeluting (i.e., overlapping) peaks. The GCxGC 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 GCxGC 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 GCxGC data indicate that the proposed model and CALS method perform well for GCxGC restoration.
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M3 - Conference contribution
AN - SCOPUS:33947127386
SN - 0780392329
SN - 9780780392328
T3 - 2005 IEEE International Conference on Electro Information Technology
BT - 2005 IEEE International Conference on Electro Information Technology
T2 - 2005 IEEE International Conference on Electro Information Technology
Y2 - 22 May 2005 through 25 May 2005
ER -