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Development of radio-frequency identification sensors based on organic electronic sensing materials for selective detection of toxic vapors

机译:基于有机电子传感材料的射频识别传感器的开发,用于选择性检测有毒蒸气

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摘要

Selective vapor sensors are demonstrated that involve the combination of (1) organic electronic sensing materials with diverse response mechanisms to different vapors and (2) passive 13.56 MHz radio-frequency identification (RFID) sensors with multivariable signal transduction. Intrinsically conducting polymers such as poly(3,4-ethylenedioxythiophene) and polyaniline (PANI) were applied onto resonant antennas of RFID sensors. These sensing materials are attractive to facilitate the critical evaluation of our sensing concept because they exhibit only partial vapor selectivity and have well understood diverse vapor response mechanisms. The impedance spectra Z(f) of the RFID antennas were inductively acquired followed by spectral processing of their real Z_(re)(f) and imaginary Z_(im)(f) parts using principal components analysis. The typical measured lσ noise levels in frequency and impedance magnitude measurements were 60 Hz and 0.025 Ω, respectively. These low noise levels and the high sensitivity of the resonant RFID sensor structures resulted in NH_3 determinations with the 3σ detection limit down to 20 ppb. This achieved detection limit was 25-50-fold better over chemoresistor sensors based on PANI films and nanowires.
机译:证明了选择性蒸汽传感器,该传感器涉及以下方面的组合:(1)具有对不同蒸汽的不同响应机制的有机电子传感材料,以及(2)具有多变量信号转导的无源13.56 MHz射频识别(RFID)传感器。本征导电聚合物,例如聚(3,4-乙撑二氧噻吩)和聚苯胺(PANI),被应用到RFID传感器的谐振天线上。这些感测材料之所以有吸引力,是因为它们仅表现出部分的蒸气选择性并且具有广为人知的多种蒸气响应机制,因此有助于对我们的感应概念进行严格的评估。感应式获取RFID天线的阻抗谱Z(f),然后使用主成分分析对其实际Z_(re)(f)和虚Z_(im)(f)零件进行频谱处理。在频率和阻抗幅度测量中,典型的lσ噪声水平分别为60 Hz和0.025Ω。这些低噪声水平和共振RFID传感器结构的高灵敏度导致NH_3的测定,其3σ检测限降至20 ppb。与基于PANI薄膜和纳米线的化学电阻传感器相比,该检测限达到了25-50倍。

著录项

  • 来源
    《Journal of Applied Physics》 |2009年第12期|124902.1-124902.6|共6页
  • 作者单位

    Chemical and Biological Sensing Laboratory, General Electric Global Research Center, Niskayuna, New York 12309, USA;

    rnChemical and Biological Sensing Laboratory, General Electric Global Research Center, Niskayuna, New York 12309, USA;

    rnRF and Photonics Laboratory, General Electric Global Research Center, Niskayuna, New York 12309, USA;

    rnRF and Photonics Laboratory, General Electric Global Research Center, Niskayuna, New York 12309, USA;

    rnPervasive Decisioning Systems Laboratory, General Electric Global Research Center, Niskayuna, New York 12309, USA;

    rnMaterials Analysis and Screening Laboratory, General Electric Global Research Center, Niskayuna, New York 12309, USA;

  • 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
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