Literature DB >> 33851335

On-line monitoring of water quality with a floating microbial fuel cell biosensor: field test results.

Ademola Adekunle1, Carrie Rickwood2, Boris Tartakovsky3.   

Abstract

Real-time biomonitoring using microbial fuel cell (MFC) based biosensors have been demonstrated in several laboratory studies, but field validation is lacking. This study describes the long-term performance of an MFC based biosensor developed for real-time monitoring of changes in the water quality of a metal-contaminated stream. After a startup in the laboratory, biosensors were deployed in a stream close to an active mining complex in Sudbury, ON, Canada. Three sites within the stream were selected for biosensors installation based on their positions relative to the mining complex discharge points - upstream (lowest heavy metals concentration), midpoint and downstream. The biosensors installed at these sites were able to detect, in real-time, temporal changes in the water quality over a 2-month period. The biosensor response was confirmed by the results of a conventional toxicity assay (48-h acute Daphnia magna) as well as analytical measurements of heavy metals concentration in the stream. We conclude that the biosensor could detect changes in the overall water quality of the stream despite the uncontrolled situations typical for field operations as compared to laboratory conditions. To further explain the results observed during the field test, the rapid Microtox bioassay and D. magna assay were used to investigate the possible contributions of the two dominant mining metals (Nickel and Copper) to water toxicity in the test area.

Entities:  

Keywords:  Aquatic toxicity; Biomonitoring; Biosensor; Microbial fuel cell; On-line; Toxicity

Year:  2021        PMID: 33851335     DOI: 10.1007/s10646-021-02409-2

Source DB:  PubMed          Journal:  Ecotoxicology        ISSN: 0963-9292            Impact factor:   2.823


  2 in total

Review 1.  Bio-electrochemical frameworks governing microbial fuel cell performance: technical bottlenecks and proposed solutions.

Authors:  Rehab H Mahmoud; Ola M Gomaa; Rabeay Y A Hassan
Journal:  RSC Adv       Date:  2022-02-16       Impact factor: 3.361

2.  Design of Water Quality Monitoring System in Shaanxi Section of Weihe River Basin Based on the Internet of Things.

Authors:  Tianjiao Dang; Jifa Liu
Journal:  Comput Intell Neurosci       Date:  2022-07-21
  2 in total

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