Neural network processing of microbial fuel cell signals for the identification of chemicals present in water

Feng, Yue; Barr, William J.; Harper, Willie F.

doi:10.1016/j.jenvman.2013.01.018

Cited by 54 publications

(26 citation statements)

References 27 publications

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“…The application of artificial neural networks (ANNs) was suggested to understand the outputs of a MFC sensor (Feng et al . ). ANNs are a form of mathematical model that are employed to measure nonlinear complicated relationships among input and yield data.…”

Section: Critical Operational Parameters For Mfc‐based Biosensorsmentioning

confidence: 97%

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Bio-analytical applications of microbial fuel cell-based biosensors for onsite water quality monitoring

et al. 2017

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SummaryGlobally, sustainable provision of high-quality safe water is a major challenge of the 21st century. Various chemical and biological monitoring analytics are presently utilized to guarantee the availability of high-quality water. However, these techniques still face some challenges including high costs, complex design and onsite and online limitations. The recent technology of using microbial fuel cell (MFC)-based biosensors holds outstanding potential for the rapid and realtime monitoring of water source quality. MFCs have the advantages of simplicity in design and efficiency for onsite sensing. Even though some sensing applications of MFCs were previously studied, e.g. biochemical oxygen demand sensor, recently numerous research groups around the world have presented new practical applications of this technique, which combine multidisciplinary scientific knowledge in materials science, microbiology and electrochemistry fields. This review presents the most updated research on the utilization of MFCs as potential biosensors for monitoring water quality and considers the range of potentially toxic analytes that have so far been detected using this methodology. The advantages of MFCs over established technology are also considered as well as future work required to establish their routine use. Fundamentals and limitations of microbial fuel cellsCurrently, eco-friendly bioelectrochemical systems (BESs) have shown outstanding potential to be a promising process for the recovery of valuable resources from wastewater (Wang and Ren 2013; Bajracharya et al. 2016). The bestknown example of this technology is the microbial fuel cell (MFC). The MFC operates by utilizing micro-organisms as a biocatalyst to oxidize organic matter and generate electrical current at the anode chamber, which when coupled to the oxygen reduction, occurring at the cathode chamber, produces electrical power (Fig. 1) (Modin et al. 2017). In principle, BESs can be employed to turn wastewater, including organic matter, into energy in self-sufficient wastewater treatment plants. Actually, all the energy consumption process for activated sludge treatment, which is usually utilized to eliminate organic matter, can be minimized by BESs (ElMekawy et al. 2013(ElMekawy et al. , 2017. The scientific concept is very attractive, and numerous research investigations have been conducted in this field.Nevertheless, there are some challenges facing the commercial application of these systems including huge capital costs. BESs comprise electrodes, current collectors, wiring and membranes, which increase the costs compared with conventional reactors used in wastewater treatment. If a BES is to completely or partially substitute the activated sludge system, it is expected that the value of generated product and the cost reduction resulting from decreased aeration requirements should be high enough to cover the system capital investment (Escapa et al. 2012;

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Section: Critical Operational Parameters For Mfc‐based Biosensorsmentioning

confidence: 97%

“…Acetate, glucose, butyrate and corn starch could be accurately determined by ANN in an MFC operated under batch mode (Feng et al . ). This model offers a good approach for the determination of target analytes from a signal response obtained by MFCs.…”

Section: Critical Operational Parameters For Mfc‐based Biosensorsmentioning

confidence: 97%

Bio-analytical applications of microbial fuel cell-based biosensors for onsite water quality monitoring

et al. 2017

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“…In another study, MFCs were used for the identification of specific chemical pollutants present in water samples. As a proof of concept, four readily degradable substrates were tested, including two fermentable (glucose and starch) and two nonfermentable chemicals (acetate and butyrate) (Feng et al 2013a). Likewise, King et al evaluated the performance of a MFC-based biosensing system for the detection of three organic pollutants: aldicarb, dimethyl-methylphosphonate and bisphenol-A (King et al 2014).…”

Section: Another Interesting Application Of Ets Andmentioning

confidence: 99%

Bioelectronic tongues: New trends and applications in water and food analysis

Cetó

Voelcker

Prieto‐Simón

2016

Biosensors and Bioelectronics

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“…It is even possible to distinguish among different species of VFA using cyclic voltammetry and columbic efficiency. MFCs may be used to distinguish non-fermentable substrates (e.g., acetate and butyrate) from fermentable substrates (e.g., glucose and starch) by analyzing their peak areas (Feng et al 2013). …”

Section: Other Sensor Applicationsmentioning

confidence: 99%

Microbial fuel cells for biosensor applications

et al. 2015

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Microbial fuel cells (MFCs) face major hurdles for real-world applications as power generators with the exception of powering small sensor devices. Despite tremendous improvements made in the last two decades, MFCs are still too expensive to build and operate and their power output is still too small. In view of this, in recently years, intensive researches have been carried out to expand the applications into other areas such as acid and alkali production, bioremediation of aquatic sediments, desalination and biosensors. Unlike power applications, MFC sensors have the immediate prospect to be practical. This review covers the latest developments in various proposed biosensor applications using MFCs including monitoring microbial activity, testing biochemical oxygen demand, detection of toxicants and detection of microbial biofilms that cause biocorrosion.

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Neural network processing of microbial fuel cell signals for the identification of chemicals present in water

Cited by 54 publications

References 27 publications

Bio-analytical applications of microbial fuel cell-based biosensors for onsite water quality monitoring

Bio-analytical applications of microbial fuel cell-based biosensors for onsite water quality monitoring

Bioelectronic tongues: New trends and applications in water and food analysis

Microbial fuel cells for biosensor applications

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