利用捕集器和气相色谱增强声表面波电子鼻鉴别脂肪同源物和异构体

N. Barié, M. Rapp
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引用次数: 0

摘要

我们提出了一种新的电子鼻系统,用于化学相关分析物和复杂混合物的鉴别。该系统采用了由8个聚合物涂层表面声波(SAW)传感器组成的小型化阵列和一个小型预浓缩单元(“陷阱”)。以常压空气为载气的气相色谱柱作为分离单元。设计方面的考虑特别强调了传感器、涂层、捕集器、色谱柱、气体流体和模式识别软件之间相互作用所产生的必要性。对该体系进行了烷烃同系物和己烷异构体的测试。它成功地从其他烷烃中识别正己烷,即使在非常小的浓度(< 1ppm)。
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Discrimination of aliphatic homologues and isomers using trap and GC enhanced SAW based electronic noses
We present a new electronic nose system for discrimination of chemically related analytes and complex mixtures. The system employs a miniaturized array of eight polymer coated surface acoustic wave (SAW) sensors and a small preconcentration unit ('trap'). A GC column with atmospheric pressure air as the carrier gas is implemented as a separation unit. Design considerations are made with particular emphasis on the necessities arising from the interplay between sensors, coatings, trap, column, gas fluidics, and pattern recognition software. The system was tested against alkane homologues and hexane isomers. It successfully identifies n-hexane from other alkanes, even at very small concentrations (<1 ppm).
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