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Environmental electroactive consortia as reusable biosensing element for freshwater toxicity monitoring

The development of tools to monitor water quality is mandatory in a scenario where clean water resources are decreasing. Here, the biosensing capability of an electroactive river sediment consortium was tested towards three model contaminants (glutaraldehyde, nickel(II) and chromium(III)). The proposed biosensor is a small membrane-less single chamber Microbial Fuel Cell (MFC), fabricated by 3D printing. Its semi-continuous mode of operation resulted in long-term current profile stability and reproducibility. A linear trend of response was obtained for glutaraldehyde in a concentration range of 5-1000 ppm. After the recovery of the electroactive consortium activity, the MFC-based biosensors were shown to be sensitive towards Ni(II) and Cr(III), at concentrations above 2 mg L-1. To effectively analyze biosensor response, a novel algorithm was proposed, offering advantages for the realization of energy-saving protocols for MFC-biosensor data transmission. Implementation of the device and method, from laboratory test to real environment, can offer a low cost in situ system for detection of water contaminants.
Chromium, Geologic Sediments, Bioelectric Energy Sources, Temperature, Fresh Water, Biosensing Techniques, Electroactive river sediment consortium; Glutaraldehyde; Heavy metals; Microbial Fuel Cell (MFC); Reusable biosensor; Water toxicity, Electricity, Glutaral, Nickel, Biofilms, Algorithms, Environmental Monitoring
Chromium, Geologic Sediments, Bioelectric Energy Sources, Temperature, Fresh Water, Biosensing Techniques, Electroactive river sediment consortium; Glutaraldehyde; Heavy metals; Microbial Fuel Cell (MFC); Reusable biosensor; Water toxicity, Electricity, Glutaral, Nickel, Biofilms, Algorithms, Environmental Monitoring
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).24 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.Top 10%
