A novel biosensor for p-nitrophenol based on an aerobic anode microbial fuel cell
A novel biosensor for p-nitrophenol based on an aerobic anode microbial fuel cell
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基于好氧阳极微生物燃料电池的新型对硝基苯酚生物传感器
DOI：
10.1016/j.bios.2016.06.007
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发表时间：
2016-11-15
影响因子：
12.6
通讯作者：
Li, Xiangkai
中科院分区：
文献类型：
--
作者：
Chen, Zhengjun;Niu, Yongyan;Li, Xiangkai
对硝基苯酚是化工废水中最常见的污染物之一，常规分析技术无法实现对对硝基苯酚的现场实时监测。在这里，一个两室的微生物燃料电池与有氧阳极室进行了测试，作为一个生物传感器原位实时监测PNP。以假单胞菌LZU-3为生物识别元件，以PNP为唯一底物，可在阳极电极上形成生物膜。该生物传感器的最佳操作参数如下：外电阻1000 Ω，pH 7.8，温度30 ℃，最大PNP浓度50 mg L-1。在这些条件下，最大电压与PNP浓度呈线性关系，范围为15 +/- 5至44 +/- 4.5 mg L-1。此外，我们开发了一种新型的便携式装置，用于现场实时监测PNP。当该装置应用于测量含有各种额外的芳香族化合物和金属离子的废水中的PNP时，生物传感器的性能不受影响，并且最大电压与PNP浓度之间的相关性在9 +/- 4 mg L-1至36 +/- 5 mg L-1范围内保持不变。结果表明，MFC生物传感器提供了一个快速和成本效益的分析方法，实时监测环境样品中的有毒和难降解污染物。(C)2016爱思唯尔B. V.保留所有权利。
P-nitrophenol is one of the most common contaminants in chemical industrial wastewater, and in situ real-time monitoring of PNP cannot be achieved by conventional analytical techniques. Here, a two chamber microbial fuel cell with an aerobic anode chamber was tested as a biosensor for in situ real-time monitoring of PNP. Pseudomonas monteilii LZU-3, which was used as the biological recognition element, can form a biofilm on the anode electrode using PNP as a sole substrate. The optimal operation parameters of the biosensor were as follows: external resistance 1000 Omega, pH 7.8, temperature 30 degrees C, and maximum PNP concentration 50 mg L-1. Under these conditions, the maximum voltages showed a linear relationship with PNP concentrations ranging from 15 +/- 5 to 44 +/- 4.5 mg L-1. Furthermore, we developed a novel portable device for in situ real-time monitoring of PNP. When the device was applied to measure PNP in wastewater containing various additional aromatic compounds and metal ions, the performance of the biosensor was not affected and the correlation between the maximum voltages and the PNP concentrations ranging from 9 +/- 4 mg L-1 to 36 +/- 5 mg L-1 was conserved. The results demonstrated that the MFC biosensor provides a rapid and cost-efficient analytical method for real-time monitoring of toxic and recalcitrant pollutants in environmental samples. (C) 2016 Elsevier B.V. All rights reserved.