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Microbial Fuels Cell-Based Biosensor for Toxicity Detection: A Review

机译:微生物燃料的基于细胞的生物传感器的毒性检测:审查。

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摘要

With the unprecedented deterioration of environmental quality, rapid recognition of toxic compounds is paramount for performing in situ real-time monitoring. Although several analytical techniques based on electrochemistry or biosensors have been developed for the detection of toxic compounds, most of them are time-consuming, inaccurate, or cumbersome for practical applications. More recently, microbial fuel cell (MFC)-based biosensors have drawn increasing interest due to their sustainability and cost-effectiveness, with applications ranging from the monitoring of anaerobic digestion process parameters (VFA) to water quality detection (e.g., COD, BOD). When a MFC runs under correct conditions, the voltage generated is correlated with the amount of a given substrate. Based on this linear relationship, several studies have demonstrated that MFC-based biosensors could detect heavy metals such as copper, chromium, or zinc, as well as organic compounds, including p-nitrophenol (PNP), formaldehyde and levofloxacin. Both bacterial consortia and single strains can be used to develop MFC-based biosensors. Biosensors with single strains show several advantages over systems integrating bacterial consortia, such as selectivity and stability. One of the limitations of such sensors is that the detection range usually exceeds the actual pollution level. Therefore, improving their sensitivity is the most important for widespread application. Nonetheless, MFC-based biosensors represent a promising approach towards single pollutant detection.
机译:随着环境质量的空前恶化,对有毒化合物的快速识别对于执行现场实时监控至关重要。尽管已经开发了几种基于电化学或生物传感器的分析技术来检测有毒化合物,但对于实际应用而言,大多数这些分析技术都很耗时,不准确或麻烦。最近,基于微生物燃料电池(MFC)的生物传感器由于其可持续性和成本效益而引起了越来越多的兴趣,其应用范围从厌氧消化过程参数(VFA)的监测到水质检测(例如,COD,BOD) 。当MFC在正确的条件下运行时,产生的电压与给定基板的数量相关。基于这种线性关系,多项研究表明,基于MFC的生物传感器可以检测重金属,例如铜,铬或锌,以及有机化合物,包括对硝基苯酚(PNP),甲醛和左氧氟沙星。细菌联合体和单个菌株均可用于开发基于MFC的生物传感器。与整合细菌聚生体的系统相比,具有单一菌株的生物传感器显示出多个优势,例如选择性和稳定性。这种传感器的局限性之一是检测范围通常超过实际污染水平。因此,提高其灵敏度对于广泛应用最为重要。尽管如此,基于MFC的生物传感器还是一种有前途的单一污染物检测方法。

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