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Microbial Fuel Cell Biosensor with Capillary Carbon Source Delivery for Real-Time Toxicity Detection.
Ademola Adekunle1, Stefano Bambace2, Fabrice Tanguay-Rioux1
1National Research Council of Canada, 6100 Royalmount Ave, Montreal, QC H4P 2R2, Canada.
This study introduces a capillary-action system for microbial fuel cell (MFC) biosensors, enabling reliable toxicant detection in low-organic environments like drinking water. The enhanced MFC biosensor effectively identifies various contaminants in real-time.
Area of Science:
- Environmental Science
- Electrochemistry
- Microbiology
Background:
- Microbial fuel cell (MFC) biosensors struggle with reliability in low or fluctuating organic matter conditions.
- Carbon-depleted environments, such as potable water, pose challenges for existing MFC biosensor applications.
Purpose of the Study:
- To overcome limitations of MFC biosensors in carbon-depleted environments.
- To develop a capillary action-aided carbon source delivery system for MFC biosensors.
- To enable real-time toxicant detection in environments with low organic matter.
Main Methods:
- Evaluated different thread materials (silk, nylon, cotton, polyester) for capillary carbon source delivery.
- Incorporated a silk thread-based acetate delivery system into an MFC biosensor.
- Tested the MFC biosensor's ability to detect toxicant spikes (chlorine, formaldehyde, mercury, microcystins) in tap water.
- Utilized 16S rRNA gene sequencing to analyze microbial community composition.
Main Results:
- Silk thread demonstrated optimal performance for passive delivery of acetate solution.
- The developed MFC biosensor successfully detected toxicant spikes in tap water (organic matter 56 ± 15 mg L-1).
- Key microbial genera identified include Desulfatirhabdium, Pelobacter, and Geobacter.
Conclusions:
- Capillary action-aided carbon source delivery enhances MFC biosensor performance in carbon-depleted settings.
- The proposed system enables real-time toxicant monitoring in environments previously unsuitable for MFC biosensors.
- This approach offers a viable solution for water quality monitoring.
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