Document Detail

Improvement of isopropanol production by metabolically engineered Escherichia coli using gas stripping.
MedLine Citation:
PMID:  20696614     Owner:  NLM     Status:  In-Process    
To improve isopropanol production by metabolically engineered Escherichia coli strain TA76, the optimization of fermentation conditions and isopropanol removal by gas stripping were performed. Isopropanol is one of the simplest secondary alcohols, and it can be dehydrated to yield propylene, which is currently derived from petroleum as a monomer for making polypropylene. Initially, using a pH-controlled fed-batch culture with the intermittent addition of glucose, strain TA76 produced 667 mM (40.1g/L) of isopropanol after 60 h, representing 73.2% (mol isopropanol/mol glucose) of the theoretical maximum yield. Because the accumulation of isopropanol drastically reduced production yields, a gas stripping recovery method was incorporated into the fed-batch culture system. Using this approach, strain TA76 produced 2378 mM (143 g/L) of isopropanol after 240 h with a yield of 67.4% (mol/mol). To our knowledge, this titer represents the highest level of isopropanol production by E. coli to date and suggests that strain TA76 has a great potential for commercial fermentative isopropanol production.
Kentaro Inokuma; James C Liao; Masahiro Okamoto; Taizo Hanai
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-08-09
Journal Detail:
Title:  Journal of bioscience and bioengineering     Volume:  110     ISSN:  1347-4421     ISO Abbreviation:  J. Biosci. Bioeng.     Publication Date:  2010 Dec 
Date Detail:
Created Date:  2010-11-22     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100888800     Medline TA:  J Biosci Bioeng     Country:  Japan    
Other Details:
Languages:  eng     Pagination:  696-701     Citation Subset:  IM    
Copyright Information:
Copyright © 2010 The Society for Biotechnology, Japan. Published by Elsevier B.V. All rights reserved.
Laboratory for Bioinformatics, Graduate School of Systems Life Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
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