Determining the Dose–Response Curve of Exoelectrogens: A Microscale Microbial Fuel Cell Biosensor for Water Toxicity Monitoring

Nowadays, the development of real-time water quality monitoring sensors is critical. However, traditional water monitoring technologies, such as enzyme-linked immunosorbent assay (ELISA), liquid chromatography, mass spectroscopy, luminescence screening, surface plasma resonance (SPR), and analysis o...

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Main Authors: Sitao Fei, Hao Ren
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Micromachines
Subjects:
Online Access:https://www.mdpi.com/2072-666X/13/10/1560
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author Sitao Fei
Hao Ren
author_facet Sitao Fei
Hao Ren
author_sort Sitao Fei
collection DOAJ
description Nowadays, the development of real-time water quality monitoring sensors is critical. However, traditional water monitoring technologies, such as enzyme-linked immunosorbent assay (ELISA), liquid chromatography, mass spectroscopy, luminescence screening, surface plasma resonance (SPR), and analysis of living bioindicators, are either time consuming or require expensive equipment and special laboratories. Because of the low cost, self-sustainability, direct current output and real-time response, microbial fuel cells (MFCs) have been implemented as biosensors for water toxicity monitoring. In this paper, we report a microscale MFC biosensor to study the dose–response curve of exoelectrogen to toxic compounds in water. The microscale MFC biosensor has an anode chamber volume of 200 μL, which requires less sample consumption for water toxicity monitoring compared with macroscale or mesoscale MFC biosensors. For the first time, the MFC biosensor is exposed to a large formaldehyde concentration range of more than 3 orders of magnitudes, from a low concentration of 1 × 10<sup>−6</sup> g/L to a high concentration of 3 × 10<sup>−3</sup> g/L in water, while prior studies investigated limited formaldehyde concentration ranges, such as a small concentration range of 1 × 10<sup>−4</sup> g/L to 2 × 10<sup>−3</sup> g/L or only one high concentration of 0.1 g/L. As a result, for the first time, a sigmoid dose–response relationship of normalized dose–response versus formaldehyde concentration in water is observed, in agreement with traditional toxicology dose–response curve obtained by other measurement techniques. The biosensor has potential applications in determining dose–response curves for toxic compounds and detecting toxic compounds in water.
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spelling doaj.art-9651fc6e45ec4e5cba5601df8623f17a2023-11-24T01:20:37ZengMDPI AGMicromachines2072-666X2022-09-011310156010.3390/mi13101560Determining the Dose–Response Curve of Exoelectrogens: A Microscale Microbial Fuel Cell Biosensor for Water Toxicity MonitoringSitao Fei0Hao Ren1School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, ChinaSchool of Information Science and Technology, ShanghaiTech University, Shanghai 201210, ChinaNowadays, the development of real-time water quality monitoring sensors is critical. However, traditional water monitoring technologies, such as enzyme-linked immunosorbent assay (ELISA), liquid chromatography, mass spectroscopy, luminescence screening, surface plasma resonance (SPR), and analysis of living bioindicators, are either time consuming or require expensive equipment and special laboratories. Because of the low cost, self-sustainability, direct current output and real-time response, microbial fuel cells (MFCs) have been implemented as biosensors for water toxicity monitoring. In this paper, we report a microscale MFC biosensor to study the dose–response curve of exoelectrogen to toxic compounds in water. The microscale MFC biosensor has an anode chamber volume of 200 μL, which requires less sample consumption for water toxicity monitoring compared with macroscale or mesoscale MFC biosensors. For the first time, the MFC biosensor is exposed to a large formaldehyde concentration range of more than 3 orders of magnitudes, from a low concentration of 1 × 10<sup>−6</sup> g/L to a high concentration of 3 × 10<sup>−3</sup> g/L in water, while prior studies investigated limited formaldehyde concentration ranges, such as a small concentration range of 1 × 10<sup>−4</sup> g/L to 2 × 10<sup>−3</sup> g/L or only one high concentration of 0.1 g/L. As a result, for the first time, a sigmoid dose–response relationship of normalized dose–response versus formaldehyde concentration in water is observed, in agreement with traditional toxicology dose–response curve obtained by other measurement techniques. The biosensor has potential applications in determining dose–response curves for toxic compounds and detecting toxic compounds in water.https://www.mdpi.com/2072-666X/13/10/1560microbial fuel cell (MFC)biosensordose–response curvewater toxicity monitoringexoelectrogen
spellingShingle Sitao Fei
Hao Ren
Determining the Dose–Response Curve of Exoelectrogens: A Microscale Microbial Fuel Cell Biosensor for Water Toxicity Monitoring
Micromachines
microbial fuel cell (MFC)
biosensor
dose–response curve
water toxicity monitoring
exoelectrogen
title Determining the Dose–Response Curve of Exoelectrogens: A Microscale Microbial Fuel Cell Biosensor for Water Toxicity Monitoring
title_full Determining the Dose–Response Curve of Exoelectrogens: A Microscale Microbial Fuel Cell Biosensor for Water Toxicity Monitoring
title_fullStr Determining the Dose–Response Curve of Exoelectrogens: A Microscale Microbial Fuel Cell Biosensor for Water Toxicity Monitoring
title_full_unstemmed Determining the Dose–Response Curve of Exoelectrogens: A Microscale Microbial Fuel Cell Biosensor for Water Toxicity Monitoring
title_short Determining the Dose–Response Curve of Exoelectrogens: A Microscale Microbial Fuel Cell Biosensor for Water Toxicity Monitoring
title_sort determining the dose response curve of exoelectrogens a microscale microbial fuel cell biosensor for water toxicity monitoring
topic microbial fuel cell (MFC)
biosensor
dose–response curve
water toxicity monitoring
exoelectrogen
url https://www.mdpi.com/2072-666X/13/10/1560
work_keys_str_mv AT sitaofei determiningthedoseresponsecurveofexoelectrogensamicroscalemicrobialfuelcellbiosensorforwatertoxicitymonitoring
AT haoren determiningthedoseresponsecurveofexoelectrogensamicroscalemicrobialfuelcellbiosensorforwatertoxicitymonitoring