Issue 12, 2015

A paper-based microbial fuel cell array for rapid and high-throughput screening of electricity-producing bacteria

Abstract

There is a large global effort to improve microbial fuel cell (MFC) techniques and advance their translational potential toward practical, real-world applications. Significant boosts in MFC performance can be achieved with the development of new techniques in synthetic biology that can regulate microbial metabolic pathways or control their gene expression. For these new directions, a high-throughput and rapid screening tool for microbial biopower production is needed. In this work, a 48-well, paper-based sensing platform was developed for the high-throughput and rapid characterization of the electricity-producing capability of microbes. 48 spatially distinct wells of a sensor array were prepared by patterning 48 hydrophilic reservoirs on paper with hydrophobic wax boundaries. This paper-based platform exploited the ability of paper to quickly wick fluid and promoted bacterial attachment to the anode pads, resulting in instant current generation upon loading of the bacterial inoculum. We validated the utility of our MFC array by studying how strategic genetic modifications impacted the electrochemical activity of various Pseudomonas aeruginosa mutant strains. Within just 20 minutes, we successfully determined the electricity generation capacity of eight isogenic mutants of P. aeruginosa. These efforts demonstrate that our MFC array displays highly comparable performance characteristics and identifies genes in P. aeruginosa that can trigger a higher power density.

Graphical abstract: A paper-based microbial fuel cell array for rapid and high-throughput screening of electricity-producing bacteria

Article information

Article type
Paper
Submitted
12 Mar 2015
Accepted
14 Apr 2015
First published
14 Apr 2015

Analyst, 2015,140, 4277-4283

Author version available

A paper-based microbial fuel cell array for rapid and high-throughput screening of electricity-producing bacteria

G. Choi, D. J. Hassett and S. Choi, Analyst, 2015, 140, 4277 DOI: 10.1039/C5AN00492F

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