Paper
15 August 2003 Chemical warfare agent detection in complex environments with comprehensive two-dimensional gas chromatography
Stephen E. Reichenbach, Mingtian Ni, Visweswara Kottapalli, Arvind Visvanathan, Edward B. Ledford Jr., John Oostdijk, Henk C. Trap
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Abstract
Comprehensive two-dimensional gas chromatography (GCxGC) is an emerging technology for chemical separation that provides an order-of-magnitude increase in separation capacity over traditional gas chromatography. GCxGC separates chemical species with two capillary columns interfaced by two-stage thermal desorption. Because GCxGC is comprehensive and has high separation capacity, it can perform multiple traditional analytical methods with a single analysis. GCxGC has great potential for a wide variety of environmental sensing applications, including detection of chemical warfare agents (CWA) and other harmful chemicals. This paper demonstrates separation of nerve agents sarin and soman from a matrix of gasoline and diesel fuel. Using a combination of an initial column separating on the basis of boiling point and a second column separating on the basis of polarity, GCxGC clearly separates the nerve agents from the thousands of other chemicals in the sample. The GCxGC data is visualized, processed, and analyzed as a two-dimensional digital image using a software system for GCxGC image processing developed at the University of Nebraska - Lincoln.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen E. Reichenbach, Mingtian Ni, Visweswara Kottapalli, Arvind Visvanathan, Edward B. Ledford Jr., John Oostdijk, and Henk C. Trap "Chemical warfare agent detection in complex environments with comprehensive two-dimensional gas chromatography", Proc. SPIE 5085, Chemical and Biological Sensing IV, (15 August 2003); https://doi.org/10.1117/12.497346
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Cited by 14 scholarly publications.
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KEYWORDS
Chemical analysis

Chromatography

Nerve agents

Calibration

Image processing

Environmental sensing

Image visualization

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