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Effective Control of Bioelectricity Generation from a Microbial Fuel Cell by Logical Combinations of pH and Temperature

In this study, a microbial fuel cell (MFC) with switchable power release is designed, which can be logically controlled by combinations of the most physiologically important parameters such as “temperature” and “pH.” Changes in voltage output in response to temperature and pH changes were significant in which voltage output decreased sharply when temperature was lowered from 30°C to 10°C or pH was decreased from 7.0 to 5.0. The switchability of the MFC comes from the microbial anode whose activity is affected by the combined medium temperature and pH. Changes in temperature and pH cause reversible activation-inactivation of the bioanode, thus affecting the activity of the entire MFC. With temperature and pH as input signals, an AND logic operation is constructed for the MFC whose power density is controlled. The developed system has the potential to meet the requirement of power supplies producing electrical power on-demand for self-powered biosensors or biomedical devices.
- Chinese Academy of Sciences China (People's Republic of)
- Chinese Academy of Sciences China (People's Republic of)
- Chinese Academy of Sciences (中国科学院) China (People's Republic of)
- Hunan Agricultural University China (People's Republic of)
- GUANGZHOU INSTITUTE OF ENERGY CONVERSION, Chinese Academy of Sciences China (People's Republic of)
Technology, Bioelectric Energy Sources, T, Science, Q, R, Temperature, Equipment Design, Hydrogen-Ion Concentration, Equipment Failure Analysis, Electricity, Energy Transfer, Medicine, Geobacter, Electrodes, Research Article
Technology, Bioelectric Energy Sources, T, Science, Q, R, Temperature, Equipment Design, Hydrogen-Ion Concentration, Equipment Failure Analysis, Electricity, Energy Transfer, Medicine, Geobacter, Electrodes, Research Article
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).11 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
