Use of Anaerobic sludge Microbial Consortia in a Microbial Fuel Cell Biosensor for Biochemical Oxygen Demand Measurement
Hebah Altaweel, Jamal Abu-Ashour, Bassim Abbassi, Borhan Aldeen Albiss
AI summary
70% confidenceA cost-effective dual-chamber MFC was developed for BOD measurement, producing 600 mV and showing a strong linear correlation between BOD concentrations and voltage outputs.
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Open in lab →What they did
- System
- MFC
- Substrate
- synthetic mixture
What worked
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Abstract
Abstract Effective management of wastewater treatment plants often require real-time measurements of Biochemical Oxygen Demand (BOD). The conventional methods for determining Biochemical Oxygen Demand (BOD) are often time-consuming, labor-intensive and prone to inaccuracies. Microbial Fuel Cells (MFCs) have emerged as a viable alternative technology for BOD measurement, offering real-time monitoring capability. This study developed a cost-effective dual-chamber MFC with graphite felt electrodes and a CMI-7000 membrane, inoculated with a microbial consortia grown from anaerobic sludge at optimal conditions (35 °C, pH 7, 1000 Ω external resistance). After one month of biofilm formation, the MFC produced 600 mV. Voltage outputs were measured at six BOD 5 concentrations (36 to 583 mg/L) in synthetic wastewater, showing a strong linear correlation between BOD 5 concentrations and voltage outputs. The MFC was also tested with five domestic wastewater samples, and BOD 5 values derived from the voltage-BOD correlation were within 2.5% to 11% of conventional laboratory results. These findings confirm the potential of MFC-based biosensors as an efficient and accurate tool for real-time wastewater monitoring.
Key findings
- The MFC produced 600 mV after one month of biofilm formation.
- Voltage outputs showed a strong linear correlation with BOD concentrations (36 to 583 mg/L) in synthetic wastewater.
- BOD values derived from the voltage-BOD correlation were within 2.5% to 11% of conventional laboratory results for domestic wastewater samples.
Keywords
Identifiers
- Journal
- Research Square
- Year
- 2025