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基于氧化锡纳米线的集成温度和栅极控制的多气体传感器。

Tin oxide nanowire sensor with integrated temperature and gate control for multi-gas recognition.

机构信息

Material Measurement Laboratory, National Institute of Standards and Technology (NIST), 100 Bureau Drive, MS 8362, Gaithersburg, MD 20899-8362, USA.

出版信息

Nanoscale. 2012 Mar 7;4(5):1760-9. doi: 10.1039/c2nr11885h. Epub 2012 Feb 2.

Abstract

The selectivity of a chemiresistive gas sensor comprising an array of single-crystalline tin oxide nanowires (NWs) is shown to be greatly enhanced by combined temperature and gate voltage modulation. This dual modulation was effected by a novel microsensor platform that consisted of a suspended nitride membrane embedded with independently addressable platinum heater and back-gate structures. The sensor was evaluated in a chemical vapor exposure test consisting of three volatile organic compound (VOC) analytes in an air background; VOC concentrations ranged from 20 μmol/mol to 80 μmol/mol. During the exposure test, the temperature and gating conditions of the NW sensor were modulated in order to induce variations in the sensor's analyte response behavior. By treating these temperature- and gate-dependent analyte response variations as an identifying "fingerprint," analyte identification was achieved using a statistical pattern recognition procedure, linear discriminant analysis (LDA). Through optimization of this pattern recognition procedure, a VOC recognition rate of 98% was obtained. An analysis of the recognition results revealed that this high recognition rate could only be achieved through the combined modulation of temperature and gate bias as compared to either parameter alone. Overall, the highly accurate VOC analyte discrimination that was achieved here confirms the selectivity benefits provided by the utilized dual modulation approach and demonstrates the suitability of miniature nanowire sensors in real-world, multi-chemical detection problems.

摘要

由单晶氧化锡纳米线(NWs)阵列组成的化学电阻式气体传感器的选择性通过温度和栅极电压联合调制得到了极大的提高。这种双重调制是通过一种新型的微传感器平台实现的,该平台由嵌入有独立寻址的铂加热器和背栅结构的悬浮氮化物膜组成。该传感器在包含三种挥发性有机化合物(VOC)分析物的空气背景中的化学蒸气暴露测试中进行了评估;VOC 浓度范围从 20 μmol/mol 到 80 μmol/mol。在暴露测试过程中,调节 NW 传感器的温度和栅极条件,以诱导传感器对分析物响应行为的变化。通过将这些温度和栅极依赖的分析物响应变化视为识别“指纹”,使用统计模式识别程序,线性判别分析(LDA)来实现分析物识别。通过优化该模式识别程序,获得了 98%的 VOC 识别率。对识别结果的分析表明,与单独使用任何一个参数相比,只有通过温度和栅极偏压的联合调制才能实现如此高的识别率。总的来说,这里实现的高度精确的 VOC 分析物区分证实了所采用的双重调制方法提供的选择性优势,并证明了微型纳米线传感器在实际多化学检测问题中的适用性。

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