School of Engineering, University of British Columbia, Kelowna, BC, Canada.
School of Engineering, University of British Columbia, Kelowna, BC, Canada.
J Hazard Mater. 2021 Aug 15;416:125892. doi: 10.1016/j.jhazmat.2021.125892. Epub 2021 Apr 15.
An impedance-transducer sensor was developed for in situ detection of hydrogen sulfide (HS) and ammonia (NH) in aqueous media. Using cyclic voltammetry (CV), polypyrrole (PPy) was deposited on the surface of the microfabricated interdigitated gold electrode. Due to the proton acid doping effect of HS on PPy and ionic conduction of the film, the sensor showed a decreasing impedance response to HS unlike other reducing chemicals, i.e., ammonia (NH). The recorded faradaic data was then associated with an equivalent circuit and compared with that of NH to examine the selectivity of the sensor. An electrochemical impedance spectroscopy (EIS) analysis was applied to the mixture of HS and NH prepared at different ratios for the concentrations ranging from 2 ppm to 20 ppm (below 2-ppm, no response was observed due to the formation of NHHS, not sensible with PPy). The principal component analysis (PCA) was used to train a real-time prediction model for both classification (for the type of the analyte) and regression (the concentration of the analyte). The results showed the high performance of the sensor in determining individual analytes while the model was able to accurately predict the amount of HS and NH in the mixture.
开发了一种用于原位检测水介质中硫化氢 (HS) 和氨 (NH) 的阻抗传感器。使用循环伏安法 (CV),将聚吡咯 (PPy) 沉积在微制造叉指金电极的表面。由于 HS 对 PPy 的质子酸掺杂效应和膜的离子传导,与其他还原化学品(即氨 (NH))相比,传感器对 HS 表现出阻抗响应降低的现象。然后将记录的法拉第数据与等效电路相关联,并与 NH 的结果进行比较,以检查传感器的选择性。电化学阻抗谱 (EIS) 分析应用于不同比例制备的 HS 和 NH 的混合物,浓度范围从 2 ppm 到 20 ppm(由于形成 NHHS,低于 2 ppm 时没有响应,对 PPy 不敏感)。主成分分析 (PCA) 用于训练实时预测模型,用于分类(分析物的类型)和回归(分析物的浓度)。结果表明,该传感器在确定单个分析物方面表现出高性能,而模型能够准确预测混合物中 HS 和 NH 的含量。