Production of poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) by Ralstonia eutropha in high cell density palm oil fermentations
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s1-ln10215478-342573334-1939656818Hwf1625978718IdV180612639110215478PDF_HI0001.pdf
Description
main article
Size
1.73 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Yusof, Zainal Abidin Mohd
Riedel, Sebastian L. S.
Bader, Johannes
Brigham, Christopher J.
Budde, Charles F.
Rha, ChoKyun
Sinskey, Anthony J.
Date Issued
August 2011
Journal
Biotechnology and Bioengineering
Publisher
Wiley Periodicals, Inc.
Citation
Riedel, Sebastian L. et al. “Production of poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) by Ralstonia eutropha in high cell density palm oil fermentations.” Biotechnology and Bioengineering (2011): n/a-n/a. Web. 4 Nov. 2011. © 2011 Wiley Periodicals, Inc.
Version
Original manuscript
Abstract
Improved production costs will accelerate commercialization of polyhydroxyalkanoate (PHA) polymer and PHA-based products. Plant oils are considered favorable feedstocks, due to their high carbon content and relatively low price compared to sugars and other refined carbon feedstocks. Different PHA production strategies were compared using a recombinant strain of Ralstonia eutropha that produces high amounts of P(HB-co-HHx) when grown on plant oils. This R. eutropha strain was grown to high cell densities using batch, extended batch, and fed batch fermentation strategies, in which PHA accumulation was triggered by nitrogen limitation. While extended batch culture produced more biomass and PHA than batch culture, fed batch cultivation was shown to produce the highest levels of biomass and PHA. The highest titer achieved was over 139 g/L cell dry weight (CDW) of biomass with 74% of CDW as PHA containing 19mol% HHx. Our data suggest that the fermentation process is scalable with a space time yield (STY) better than 1 g PHA/L/h. The achieved biomass concentration and PHA yield are among the highest reported for the fermentation of recombinant R. eutropha strains producing P(HB-co-HHx).
MIT Department
Massachusetts Institute of Technology. Department of Biology
Massachusetts Institute of Technology. Engineering Systems Division
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DOI of Published Version
http://dx.doi.org/10.1002/bit.23283
