红外光谱法检测空气中硝基芳香族和过氧化物炸药:QCL和FTIR

L. Pacheco‐Londoño, J. Castro-Suarez, S. Hernández‐Rivera
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引用次数: 21

摘要

设计并实现了一种利用化学计量学分析处理光谱信息的方法,用于检测气相中痕量水平的高能材料(hem)。采用化学计量学增强振动光谱法检测了空气中硝基芳香型HEM 2,4-二硝基甲苯(2,4- dnt)和环有机过氧化物三丙酮三过氧化物(TATP)的存在。使用传统的热源(全球)、调制和非调制FT-IR以及基于量子级联激光(QCL-)的色散红外光谱对几种红外实验装置进行了测试。利用中红外(MIR)区气相吸收实验数据建立了化学计量学模型。利用偏最小二乘判别分析(PLS-DA)生成了空气中痕量爆炸物的模式识别方案。与其他方法相比,基于qcl的方法对空气中HEM的检测具有更好的辨别能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of Nitroaromatic and Peroxide Explosives in Air Using Infrared Spectroscopy: QCL and FTIR
A methodology for processing spectroscopic information using a chemometrics-based analysis was designed and implemented in the detection of highly energetic materials (HEMs) in the gas phase at trace levels. The presence of the nitroaromatic HEM 2,4-dinitrotoluene (2,4-DNT) and the cyclic organic peroxide triacetone triperoxide (TATP) in air was detected by chemometrics-enhanced vibrational spectroscopy. Several infrared experimental setups were tested using traditional heated sources (globar), modulated and nonmodulated FT-IR, and quantum cascade laser- (QCL-) based dispersive IR spectroscopy. The data obtained from the gas phase absorption experiments in the midinfrared (MIR) region were used for building the chemometrics models. Partial least-squares discriminant analysis (PLS-DA) was used to generate pattern recognition schemes for trace amounts of explosives in air. The QCL-based methodology exhibited a better capacity of discrimination for the detected presence of HEM in air compared to other methodologies.
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