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聚吡咯渗流网络气体传感器:通过聚合物生长过程中的电导监测提高重现性。

Polypyrrole Percolation Network Gas Sensors: Improved Reproducibility through Conductance Monitoring during Polymer Growth.

作者信息

Li Weishuo, Lefferts Merel J, Armitage Ben I, Murugappan Krishnan, Castell Martin R

机构信息

Department of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, U.K.

出版信息

ACS Appl Polym Mater. 2022 Apr 8;4(4):2536-2543. doi: 10.1021/acsapm.1c01819. Epub 2022 Mar 7.

Abstract

Conducting-polymer-based electrical percolation networks are promising materials for use in high-sensitivity chemiresistive devices. An ongoing challenge is to create percolation networks that have consistent properties, so that devices based on these materials do not have to be individually calibrated. Here, an in situ conductance technique is used during the electrochemical growth of polypyrrole (PPy) percolation networks. The drain current ( ) across the interdigitated electrodes (IDEs) is a measure of the conductance of the PPy network during electrochemical polymerization. The curve is used to determine the percolation region. To improve the reproducibility of PPy percolation networks, an in situ conductance monitoring method based on the value of is used. A set of optimal ammonia gas percolation sensors was created using this method with an average sensitivity of Δ/ × 100% ppm = 11.3 ± 1.2% ppm and an average limit of detection of 15.0 ± 3.6 ppb.

摘要

基于导电聚合物的电渗流网络是用于高灵敏度化学电阻器件的有前途的材料。一个持续存在的挑战是创建具有一致特性的渗流网络,以便基于这些材料的器件无需单独校准。在此,在聚吡咯(PPy)渗流网络的电化学生长过程中使用了原位电导技术。叉指电极(IDE)两端的漏极电流( )是电化学聚合过程中PPy网络电导的一种度量。 曲线用于确定渗流区域。为了提高PPy渗流网络的重现性,使用了一种基于 值的原位电导监测方法。使用该方法创建了一组最佳的氨气渗流传感器,其平均灵敏度为Δ/ × 100% ppm = 11.3 ± 1.2% ppm,平均检测限为15.0 ± 3.6 ppb。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a93d/9084546/ccdf58235f22/ap1c01819_0001.jpg

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