A hybrid chemiresistive sensor system for the detection of organic vapors
A hybrid chemiresistive sensor system for the detection of organic vapors
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DOI：
10.1016/j.snb.2011.02.025
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发表时间：
2011-08-01
影响因子：
8.4
通讯作者：
Whitten, James E.
中科院分区：
文献类型：
--
作者：
Im, Jisun;Sengupta, Sandip K.;Whitten, James E.
一个五节点传感器阵列被集成到一个基于微处理器的便携式系统中，该传感器阵列由三层金纳米颗粒膜、聚3-己基噻吩膜和聚吡咯膜组成，其中金纳米颗粒膜由对三苯硫醇、十二硫醇和硫代三甘醇甲醚功能化。评价了该系统对氯仿、甲基二异丙基膦(DIMP)、乙醇、正己烷、甲醇和甲苯蒸气的检测。通过测量同时接触每种分析物时的电阻变化，直接比较五种传感器膜在灵敏度、响应时间和恢复时间方面的差异。一般来说，传感器膜对具有相似化学功能(例如，极性)的有机分析物分子具有最高的灵敏度。例如，十二硫醇功能化的金纳米颗粒膜传感器在检测正己烷方面表现出色，而巯基(三甘醇)甲醚功能化纳米颗粒膜对乙醇和氯仿的检测表现出极高的检测能力。尽管聚(3-己基噻吩膜)对包括DIMP在内的极性分析物非常敏感，但在许多情况下，它的恢复时间相对较长。在对传感器系统进行训练后，使用基于差值平方最小化方法的相对简单的算法实现了分析物的成功区分和检测。在主成分分析的背景下考虑了系统对这些分析物进行最佳区分的能力，并讨论了传感器长期漂移的影响。(C)2011年，由爱思唯尔出版。
A five node sensor array, consisting of three films of gold nanoparticles functionalized with p-terphenylthiol, dodecanethiol and mercapto-(triethylene glycol) methyl ether, and films of poly(3-hexylthiophene) and polypyrrole, was integrated into a portable, microprocessor-based system. The system was evaluated for the detection of chloroform, diisopropyl methylphosphonate (DIMP), ethanol, hexane, methanol, and toluene vapors. Direct comparison of the five sensor films with respect to sensitivity, response time and recovery time was made by measurement of the resistance changes upon simultaneous exposure to each analyte. In general, the sensor films responded, with greatest sensitivity, to organic analyte molecules with similar chemical functionality (e.g., polarity). For example, the dodecanethiol-functionalized gold nanoparticle film sensor excelled at detecting hexane, while the mercapto-(triethylene glycol) methyl ether-functionalized nanoparticle film exhibited superb detection of ethanol and chloroform. Although the poly(3-hexylthiophene) film was very sensitive to polar analytes, including DIMP, in many cases it suffered from relatively long recovery times. Following training of the sensor system, successful differentiation and detection of the analytes were realized using a relatively simple algorithm based on "minimization of the squares of differences" method. The ability of the system to optimally differentiate these analytes is considered within the context of principal component analysis, and the effects of long-term sensor drift are discussed. (C) 2011 Published by Elsevier B.V.