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Development of a eukaryotic microbial fuel cell using Arxula adeninivorans

Research Archive

Development of a eukaryotic microbial fuel cell using Arxula adeninivorans

Haslett, N.
Type: Thesis
Permalink: https://hdl.handle.net/10182/4783
Originally published: 2012 by Lincoln University
Keywords: MFC; Arxula adeninivorans; Saccharomyces cerevisiae; AFRE2; microbial fuel cell; yeast; eukaryote; electrochemistry; biochemistry; microbiology; osmium polymers; mediators; transformation; power density; model; internal resistance; cyclic voltammetry; Pseudomonas aerugenosa

Abstract:

The bulk of microbial fuel cell work has been conducted on prokaryotic microorganisms, with eukaryotes considered too sluggish. Access to the electron transport chain in the mitochondrion appeared to be the limiting factor. There are useful eukaryotic microorganisms yet to be investigated in the microbial fuel cell field. Arxula adeninivorans is a dimorphic yeast with a large substrate range and high osmotic and temperature tolerances making it a good candidate for study in a eukaryotic microbial fuel cell. This thesis demonstrated that A. adeninivorans can participate in both mediated and mediator-less electron transfer in a microbial fuel cell, secreting an electrochemically active substance that contributes to the mediator-less power density when KMnO₄ is used in the cathode as the final electron acceptor. A large number of physical, electrochemical and biological factors were investigated with several novel behaviours reported. Different fuel cell configurations, different electrodes, cell immobilization, different cathode reactions, comparisons to different microorganisms, mixed culture microbial fuel cells and gene over-expression were attempted to both increase electrical output and the understanding of the limitations of eukaryotic microbial fuel cells so that they could be overcome. Research was conducted with A. adeninivorans in a large variety of MFC configurations and conditions to map out future work that would be required to create a model for optimal eukaryotic microbial fuel cell performance.

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