Exploiting the Electrical Nature of Biofilms for Long-Term Monitoring of Quiescent Aquatic Environments via Open-Circuit Microbial Potentiometric Sensors: Evidence of Long-Distance Electrical Signaling.

  • Published In: Nano Life, 2023, v. 13, n. 4. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Burge, Scott R.; Hristovski, Kiril D.; Burge, Russell G.; Pejov, Ljupco; Boscovic, Dragan; Taylor, Evan; Hoffman, David A. 3 of 3

Abstract

This study was based on the hypothesis that spatial–temporal characterization of contaminant-affected redox gradients in a quiescent system could be measured by microbial potentiometric sensor (MPS) arrays incorporated in large, natural biofilm networks. Two experimental chambers, each containing at least 48 equidistantly located MPS electrodes, were fabricated to examine reproducibility of the patterns. The MPS electrodes were exposed to biofilm growth conditions by introducing high dissolved organic carbon (DOC) and dechlorinated tap water at the bottom of the experimental chamber; and the spatial–temporal changes in the MPS array signals were recorded, which showed that signal trends were correlated to the induced changes in DOC. The results indicated that MPS arrays measured the spatial–temporal changes in the aqueous solution caused by an influx of carbon rich water, which could not be detected by conventional oxidation-reduction potential (ORP) electrodes. Interestingly, the experiments conducted over long time periods revealed unusual behaviors like electrical signaling and possible potentiometrically driven communication within the biofilm. These observed behaviors suggest that biofilms may create a large network through which communication signals can be generated and propagated by inducing changes in electric potentials similar to a sophisticated electronic device. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Nano Life. 2023/12, Vol. 13, Issue 4, p1
  • Document Type:Article
  • Subject Area:Engineering
  • Publication Date:2023
  • ISSN:1793-9844
  • DOI:10.1142/S1793984423500149
  • Accession Number:173469356
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