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Methanol selective gas sensor based on nano-structured conducting polypyrrole prepared by electrochemically on interdigital electrodes for biodiesel analysis

机译:基于指叉电极上电化学制备的纳米结构导电聚吡咯的甲醇选择性气体传感器,用于生物柴油分析

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Nano-structured conductive polypyrrole (NCP) has been prepared by constant current electrodeposition on interdigital electrodes (IDEs) in the presence of an anionic dopant (PPy-X) and has been investigated as a gas sensor. The effects of the electrochemical conditions and dopant type (perchlorate and para toluene sulfonate) on sensing behavior of the PPy-X gas sensor toward the aliphatic alcohols vapor have been studied. The PPy-C104 has been demonstrated to have fast response time (< 1 s), high calibration sensitivity, high selectivity, and good reproducibility to the methanol in ambient temperature. The calibration sensitivity order of the PPy-ClO_4 for aliphatic alcohol vapors has been revealed as: methanol >> ethanol> 1-propanol > 2-propanol. Therefore, the PPy-ClO_4 can be successfully utilized as a selective sensor for detection of methanol (DL = 0.03%, mass/mass). It has been found in all of cases that the normalized electrical resistance directly correlates with the concentration of aliphatic alcohols in gas phase. Based on the obtained calibration curve linear range of about 0.15-2.01% (mass/mass) and 0.61-17.62% (mass/mass) was obtained for methanol at 30 C and 120 ℃ sensing temperatures, respectively. The PPy-ClO_4 gas sensor has been applied for determination of residual methanol content in the biodiesel samples. The results are in good agreement with values obtained by GC/MS method.
机译:纳米结构导电聚吡咯(NCP)是通过在阴离子掺杂剂(PPy-X)存在下在叉指电极(IDEs)上恒流电沉积制备的,并已作为气体传感器进行了研究。研究了电化学条件和掺杂剂类型(高氯酸盐和对甲苯磺酸盐)对PPy-X气体传感器对脂族醇蒸气的传感行为的影响。已证明PPy-C104具有快速响应时间(<1 s),高校准灵敏度,高选择性以及在环境温度下对甲醇的良好重现性。 PPy-ClO_4对脂肪醇蒸气的标定灵敏度顺序为:甲醇>>乙醇> 1-丙醇> 2-丙醇。因此,PPy-ClO_4可以成功地用作检测甲醇的选择性传感器(DL = 0.03%,质量/质量)。在所有情况下都发现归一化电阻与气相中脂肪族醇的浓度直接相关。根据获得的校准曲线,在30℃和120℃的感测温度下,甲醇的线性范围分别约为0.15-2.01%(质量/质量)和0.61-17.62%(质量/质量)。 PPy-ClO_4气体传感器已用于确定生物柴油样品中残留的甲醇含量。结果与通过GC / MS方法获得的值非常吻合。

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