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Bioengineering 2017, 4(1), 20; doi:10.3390/bioengineering4010020

The Evolution of Polymer Composition during PHA Accumulation: The Significance of Reducing Equivalents

1
School of Chemical Engineering, University of Queensland, St Lucia QLD 4072, Australia
2
Veolia Water Technologies AB—AnoxKaldnes, Klosterängsvägen 11A SE-226 47 Lund, Sweden
*
Author to whom correspondence should be addressed.
Academic Editor: Martin Koller
Received: 6 January 2017 / Revised: 20 February 2017 / Accepted: 23 February 2017 / Published: 7 March 2017
(This article belongs to the Special Issue Advances in Polyhydroxyalkanoate (PHA) Production)
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Abstract

This paper presents a systematic investigation into monomer development during mixed culture Polyhydroxyalkanoates (PHA) accumulation involving concurrent active biomass growth and polymer storage. A series of mixed culture PHA accumulation experiments, using several different substrate-feeding strategies, was carried out. The feedstock comprised volatile fatty acids, which were applied as single carbon sources, as mixtures, or in series, using a fed-batch feed-on-demand controlled bioprocess. A dynamic trend in active biomass growth as well as polymer composition was observed. The observations were consistent over replicate accumulations. Metabolic flux analysis (MFA) was used to investigate metabolic activity through time. It was concluded that carbon flux, and consequently copolymer composition, could be linked with how reducing equivalents are generated. View Full-Text
Keywords: PHA; monomer evolution; mixed culture; modeling; polymer composition; biopolymer PHA; monomer evolution; mixed culture; modeling; polymer composition; biopolymer
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Montano-Herrera, L.; Laycock, B.; Werker, A.; Pratt, S. The Evolution of Polymer Composition during PHA Accumulation: The Significance of Reducing Equivalents. Bioengineering 2017, 4, 20.

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