Application of metabolic flux modeling to predict carbon flow and optimize the production of chelating acids by Gluconobacter oxydans for bioleaching of rare earth elements, J.E. Aston, V.S. Thompson, Y. Fujita, Y. Jiao, and D.W. Reed

The Southern African Institute of Mining and Metallurgy
J. E. Aston V. S. Thompson Y. Fujita Y. Jiao D. W. Reed
Organization:
The Southern African Institute of Mining and Metallurgy
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11
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553 KB
Publication Date:
Jan 1, 2020

Abstract

Rare earth elements (REE) are vital components in modern electronics and green technology products. Supply is tight and global demand is expected to increase, leading to high risk for the economic and national security of countries largely dependent upon foreign supplies. Recycling of REE from consumer and industrial waste materials is a possible way to help meet demand. We have shown previously that biohydrometallurgy can play an economically and environmentally sustainable role in REE recycling, particularly if agriculture or food wastes are used to produce organic acid bioleaching agents. A challenge for organic acid-based bioleaching is the incomplete conversion of the carbon substrate to an optimal organic acid biolixiviant with high REE extraction capability from a variety of REE-containing feedstocks (e.g., mining wastes, magnets from end of life products, spent batteries, etc.). To help meet this challenge a metabolic model was developed for Gluconobacter oxydans to identify options for improving sugar conversion to organic acids. Model predictions were consistent with laboratory data for the microbial consumption of glucose and production of gluconic acid, and suggested that providing growth conditions with relatively high C:N molar ratios could result in lower pH biolixiviant production and thus improve bioleaching. Keywords: Gluconobacter oxydans, bioleaching, metabolic modelling, rare earth elements summaries 2019: U.S. Geological Survey, 200 p., https://doi.org/10.3133/70202434.
Citation

APA: J. E. Aston V. S. Thompson Y. Fujita Y. Jiao D. W. Reed  (2020)  Application of metabolic flux modeling to predict carbon flow and optimize the production of chelating acids by Gluconobacter oxydans for bioleaching of rare earth elements, J.E. Aston, V.S. Thompson, Y. Fujita, Y. Jiao, and D.W. Reed

MLA: J. E. Aston V. S. Thompson Y. Fujita Y. Jiao D. W. Reed Application of metabolic flux modeling to predict carbon flow and optimize the production of chelating acids by Gluconobacter oxydans for bioleaching of rare earth elements, J.E. Aston, V.S. Thompson, Y. Fujita, Y. Jiao, and D.W. Reed. The Southern African Institute of Mining and Metallurgy, 2020.

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