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Precise gas discrimination with cross-reactive graphene and metal oxide sensor arrays

机译:交叉反应石墨烯和金属氧化物传感器阵列可精确识别气体

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摘要

Discriminating similar molecules remains a very challenging problem for semiconductor gas sensors. Here, we report a method to achieve precise gas discrimination of similar chemical vapors (mesitylene, o-xylene, and toluene) by using cross-reactive arrays consisting of metal oxide semiconductor and graphene sensors. It is difficult to identify these three chemicals as they have very similar responses to these sensors. Through cross-reactive Principal Component Analysis of the sensor response features, however, the discrimination accuracy improved from about 70% with a single gas sensor to almost 100% with the cross-reactive sensor array. Such a precise discrimination and the low-cost planar process make this approach a very attractive candidate for smart gas sensing and for future Internet of Things applications. Published by AIP Publishing.
机译:对于半导体气体传感器而言,区分相似分子仍然是一个非常具有挑战性的问题。在这里,我们报告了一种通过使用由金属氧化物半导体和石墨烯传感器组成的交叉反应阵列来实现对相似化学蒸气(均三甲苯,邻二甲苯和甲苯)进行精确气体区分的方法。很难识别这三种化学物质,因为它们对这些传感器的响应非常相似。但是,通过对传感器响应特征进行交叉反应主成分分析,判别精度从单个气体传感器的约70%提高到交叉反应传感器阵列的近100%。如此精确的判别和低成本的平面工艺使该方法成为智能气体传感和未来物联网应用的极具吸引力的候选者。由AIP Publishing发布。

著录项

  • 来源
    《Applied Physics Letters》 |2018年第22期|222102.1-222102.4|共4页
  • 作者单位

    George Mason Univ, Dept Elect & Comp Engn, Fairfax, VA 22030 USA;

    Chinese Acad Sci, Shanghai Adv Res Inst, Shanghai 200031, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 04:09:26

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