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Detection of Volatile Organic Compounds by Self-assembled Monolayer Coated Sensor Array with Concentration-independent Fingerprints

机译:浓度独立指纹图谱的自组装单层涂层传感器阵列检测挥发性有机化合物

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摘要

In this paper, we have modeled and analyzed affinities and kinetics of volatile organic compounds (VOCs) adsorption (and desorption) on various surface chemical groups using multiple self-assembled monolayers (SAMs) functionalized film bulk acoustic resonator (FBAR) array. The high-frequency and micro-scale resonator provides improved sensitivity in the detections of VOCs at trace levels. With the study of affinities and kinetics, three concentration-independent intrinsic parameters (monolayer adsorption capacity, adsorption energy constant and desorption rate) of gas-surface interactions are obtained to contribute to a multi-parameter fingerprint library of VOC analytes. Effects of functional group’s properties on gas-surface interactions are also discussed. The proposed sensor array with concentration-independent fingerprint library shows potential as a portable electronic nose (e-nose) system for VOCs discrimination and gas-sensitive materials selections.
机译:在本文中,我们使用多个自组装单层(SAM)功能化薄膜体声波谐振器(FBAR)阵列对挥发性有机化合物(VOC)在各种表面化学基团上的吸附(和解吸)的亲和力和动力学进行了建模和分析。高频和微型谐振器在痕量水平的VOC检测中提供了更高的灵敏度。通过对亲和力和动力学的研究,获得了气体-表面相互作用的三个与浓度无关的内在参数(单层吸附容量,吸附能常数和解吸速率),从而为VOC分析物的多参数指纹库做出了贡献。还讨论了官能团性质对气体-表面相互作用的影响。所提出的具有与浓度无关的指纹库的传感器阵列具有潜在的潜力,可作为便携式电子鼻(e-nose)系统用于VOC鉴别和气体敏感材料的选择。

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