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Chemical Warfare Agent Detection in Complex Environments with Comprehensive Two-Dimensional Gas Chromatography

机译:综合二维气相色谱法检测复杂环境中的化学战剂

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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.
机译:综合二维气相色谱法(GCxGC)是一种新兴的化学分离技术,与传统的气相色谱法相比,其分离能力提高了一个数量级。 GCxGC通过两个毛细管柱(通过两阶段热脱附连接)分离化学物质。由于GCxGC具有全面性且具有高分离能力,因此可以通过一次分析执行多种传统分析方法。 GCxGC具有广泛的环境传感应用潜力,包括化学战剂(CWA)和其他有害化学物质的检测。本文证明了从汽油和柴油中分离出神经毒药沙林和梭曼。 GCxGC结合使用了基于沸点的第一根色谱柱和基于极性的第二根色谱柱,将神经毒剂与样品中的数千种其他化学物质分离开来。使用用于GCxGC的软件系统,可以将GCxGC数据可视化,处理和分析为二维数字图像。内布拉斯加州大学林肯分校开发的图像处理。

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