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Lookup NU author(s): Dr Martin SpurrORCiD, Professor Eileen Yu, Emeritus Professor Keith Scott, Professor Ian Head
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Microbial Fuel Cells (MFCs) operated as biosensors could potentially enable truly low-cost, real-time monitoring of organic loading in wastewaters. The current generated by MFCs has been correlated with conventional measures of organic load such as Biochemical Oxygen Demand (BOD), but much remains to be established in terms of the reliability and applicability of such sensors. In this study, batch-mode and multi-stage, flow-mode MFCs were operated for over 800 days and regularly re-calibrated with synthetic wastewater containing glucose and glutamic acid (GGA). BOD5 calibration curves were obtained by normalising the current measured as a percentage of maximum current. There was little drift between recalibrations and non-linear Hill models of the combined dataset had R2 of 88–95%, exhibiting a stable response over time and across devices. Nonetheless, factors which do affect calibration were also assessed. Increasing external resistance (from 43.5 to 5100 Ω) above the internal resistance determined by polarisation curve decreased the calibration upper limit from 240 to 30 mg/l O2 BOD5. Furthermore, more fermentable carbon sources increased the detection range, as tested with samples of real wastewater and synthetic media containing GGA, glucose-only and glutamic acid-only. Biofilm acclimatisation therefore did not account for differences between aerobic oxygen demand determinations and anaerobic MFC responses; these are likely attributable to competitive processes such as fermentation. This further highlights the potential for MFCs as real-time sensors for organic load monitoring and process control in addition to BOD-compliant measurement systems.
Author(s): Spurr MWA, Yu EH, Scott K, Head IM
Publication type: Article
Publication status: Published
Journal: Biosensors and Bioelectronics
Year: 2021
Volume: 190
Print publication date: 15/10/2021
Online publication date: 04/06/2021
Acceptance date: 31/05/2021
Date deposited: 16/06/2021
ISSN (print): 0956-5663
ISSN (electronic): 1873-4235
Publisher: Elsevier BV
URL: https://doi.org/10.1016/j.bios.2021.113392
DOI: 10.1016/j.bios.2021.113392
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