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Detection of toxic gases using cermet sensors

机译:使用金属陶瓷传感器检测有毒气体

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摘要

New technologies are needed for detection and identification of gaseous species in near-real time. Voltammetry, applied to cermet electrochemical cell microsensors, was shown in this study to be promising in its ability to discern and quantify gases. The miniature cermet cells were fabricated from ceramic, metallic, and metal oxide components, and reacted uniquely with gases and mixtures in the atmosphere. Neural net chemometrics algorithms were used to interpret the waveforms to extract information about the presence and concentration of constituent gases. Results to date have shown that these sensors can correctly identify more than thirty electroactive gases while showing a high tolerance for interferents. A single element sensor can determine gas concentrations from the part per million level to the percentage level while arrays provide even better detection and discrimination. This work focuses on four constituents of diesel exhaust: benzene, 1,3-butadiene, acrolein, and acetaldehyde. Voltammetric sensors demonstrated reproducible responses to four concentrations of each constituent spiked into diesel exhaust
机译:需要在近实时检测和鉴定气态物种所需的新技术。应用于Cermet电化学电池微传感器的伏安法,在本研究中示出,旨在辨别和量化气体的能力。将微型金属陶瓷细胞由陶瓷,金属和金属氧化物组分制成,并用气体和大气中的混合物唯一地反应。神经网络化学计量学算法用于解释波形以提取有关组成气体存在和浓度的信息。结果迄今为止已经表明,这些传感器可以正确地识别超过30个电活性气体,同时显示出高容的干扰耐受性。单个元素传感器可以从百万级的百分点到百分比水平的百分点测量气体浓度,而阵列提供更好的检测和辨别。这项工作侧重于柴油排气:苯,1,3-丁二烯,丙烯醛和乙醛的四种成分。伏安传感器证明了对掺入柴油排气的每个组分的四种浓度的可重复反应

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