Citation: CHANG Jun-Yu,  HU Qi,  ZHI Hui,  FENG Liang. A Rapid Triethylamine Detector Based on Polypyrrole Aerogel[J]. Chinese Journal of Analytical Chemistry, ;2021, 49(11): 1873-1880. doi: 10.19756/j.issn.0253-3820.210437 shu

A Rapid Triethylamine Detector Based on Polypyrrole Aerogel

  • Corresponding author: FENG Liang, fengl@dicp.ac.cn
  • Received Date: 14 April 2021
    Revised Date: 9 July 2021

    Fund Project: Supported by the Key Project of Chinese Academy of Sciences (Nos.KFJ-STS-ZDTP-083, KFJ-STS-QYZD-2021-17-004), the Dalian Distinguished Young Scholars (No.2018RJ02) and the Dalian Institute of Chemical Physics, Chinese Academy of Sciences (No.DICP ZZBS201802).

  • With the increasingly urgent need of human health, the sensing devices for toxic and harmful gases monitoring are becoming more and more important. Among them, the detection of triethylamine (TEA) is of great significance for human health, environmental protection and food safety, which puts forward a great challenge on sensing materials with high sensitivity and excellent stability. Herein, polypyrrole (PPy) aerogel was prepared by the room temperature standing method. The as-prepared PPy aerogel materials showed many advantages such as environmental friendliness, reliable repeatability, good selectivity and ease to be synthesized. The results of scanning electron microscopy (SEM) and Brunauer-Emmett-Teller (BET) pore size distribution analyzing showed that the PPy aerogel materials contained a variety of pore structures, which was conducive to its good sensing performance for TEA. The PPy aerogel sensor showed an extremely fast response to TEA (the response time was about 70 s), which was even better than that of many high temperature sensors. At the same time, the senor had a sensitive response to TEA, which was manifested in linear sensibility (10-100 μL/L) and low limit of detection (60 nL/L). The response of the sensor (ΔR/Ra) toward 100 μL/L TEA was about 26%. In brief, the PPy aerogel senor realized quantitative detection of TEA, which was helpful for its application in environmental detection and food safety analysis.
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