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Optimization of growth media components for polyhydroxyalkanoate (PHA) production from organic acids by Ralstonia eutropha

Author(s)
Yang, Yung-Hun; Brigham, Christopher J.; Budde, Charles F.; Boccazzi, Paolo; Willis, Laura B.; Hassan, Mohd Ali; Yusof, Zainal Abidin Mohd; Rha, Chokyun; Sinskey, Anthony J; ... Show more Show less
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Abstract
We employed systematic mixture analysis to determine optimal levels of acetate, propionate, and butyrate for cell growth and polyhydroxyalkanoate (PHA) production by Ralstonia eutropha H16. Butyrate was the preferred acid for robust cell growth and high PHA production. The 3-hydroxyvalerate content in the resulting PHA depended on the proportion of propionate initially present in the growth medium. The proportion of acetate dramatically affected the final pH of the growth medium. A model was constructed using our data that predicts the effects of these acids, individually and in combination, on cell dry weight (CDW), PHA content (%CDW), PHA production, 3HV in the polymer, and final culture pH. Cell growth and PHA production improved approximately 1.5-fold over initial conditions when the proportion of butyrate was increased. Optimization of the phosphate buffer content in medium containing higher amounts of butyrate improved cell growth and PHA production more than 4-fold. The validated organic acid mixture analysis model can be used to optimize R. eutropha culture conditions, in order to meet targets for PHA production and/or polymer HV content. By modifying the growth medium made from treated industrial waste, such as palm oil mill effluent, more PHA can be produced.
Date issued
2010-06
URI
http://hdl.handle.net/1721.1/66951
Department
Harvard University--MIT Division of Health Sciences and Technology; Massachusetts Institute of Technology. Biomaterials Science and Engineering Laboratory; Massachusetts Institute of Technology. Department of Biology; Massachusetts Institute of Technology. Department of Chemical Engineering; Massachusetts Institute of Technology. Engineering Systems Division
Journal
Applied Microbiology and Biotechnology
Publisher
Springer-Verlag
Citation
Orkin, Jeff, and Deb Roy. “Semi-Automated Dialogue Act Classification for Situated Social Agents in Games.” Agents for Games and Simulations II. Ed. Frank Dignum. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. 148-162.
Version: Original manuscript
ISSN
0175-7598
1432-0614

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