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微生物燃料电池基生物传感器用于毒性检测:综述。

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

机构信息

Ministry of Education, Key Laboratory of Cell Activities and Stress Adaptations, School of Life Science, Lanzhou University, Tianshui South Road #222, Lanzhou 730000, China.

Department of Development Biology Sciences, School of Life Science, Lanzhou University, Tianshui South Road #222, Lanzhou 730000, China.

出版信息

Sensors (Basel). 2017 Sep 28;17(10):2230. doi: 10.3390/s17102230.

Abstract

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 -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.

摘要

随着环境质量的空前恶化,快速识别有毒化合物对于进行原位实时监测至关重要。尽管已经开发出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,但它们大多数在实际应用中都很耗时、不准确或繁琐。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关注,其应用范围从监测厌氧消化过程参数(VFA)到水质检测(如 COD、BOD)。当 MFC 在正确的条件下运行时,产生的电压与给定底物的量相关。基于这种线性关系,有几项研究表明,MFC 基生物传感器可以检测重金属,如铜、铬或锌,以及有机化合物,包括-硝基苯酚(PNP)、甲醛和左氧氟沙星。细菌群落和单一菌株都可用于开发基于 MFC 的生物传感器。与整合细菌群落的系统相比,基于单一菌株的生物传感器具有几个优势,如选择性和稳定性。此类传感器的一个局限性是检测范围通常超过实际污染水平。因此,提高它们的灵敏度是广泛应用的关键。尽管如此,基于 MFC 的生物传感器代表了一种有前途的单污染物检测方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/791c/5677232/7e5f89a772dd/sensors-17-02230-g001.jpg

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