Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/2442
Title: Enhanced production of N-acetyl-d-neuraminic acid by whole-cell bio-catalysis of Escherichia coli
Authors: Zhou, Junbo 
Chen, Xianzhong 
Lu, Liping 
Govender, Algasan 
Haiquan, Yang 
Shen, Wie 
Keywords: N-Acetyl-D-neuraminic acid;Escherichia coli;Whole-cellbio-catalysis;N-Acetyl-d-glucosamine;Stepwise optimization
Issue Date: 2016
Publisher: Elsevier
Source: Zhou, J. et al. 2016. Enhanced production of N-acetyl-d-neuraminic acid by whole-cell bio-catalysis of Escherichia coli. Journal of Molecular Catalysis B: Enzymatic. 125: 42–48.
Journal: Journal of molecular catalysis. B, Enzymatic (Print) 
Abstract: 
N-acetyl-d-neuraminic acid (Neu5Ac) has been considerably focused due to its promising potential appli-cations in pharmaceuticals and dairy products. A whole-cell biocatalyst process is an important tool for synthesis of pharmaceutical intermediates and fine chemicals. In this study, a whole cell process using engineered Escherichia coli strain was developed and stepwise optimization was employed for Neu5Ac production. N-acetyl-D-glucosamine 2-epimerase and Neu5Ac aldolase were overexpressed in E. coli individually and the activity ratio was optimized by varying recombinant amounts of cell biomass for syn-thesis of Neu5Ac. Moreover, substrate concentrations and ratio of pyruvate and N-acetyl-D-glucosamine (GlcNAc) and detergent concentrations were optimized to increase product synthesis. The resulting process generated 237.4 mM Neu5Ac with a yield of 40.0% mol/mol GlcNAc. Furthermore, transporter pathways involved in Neu5Ac and GlcNAc were engineered and their impact on the Neu5Ac synthesis was evaluated. Using a stepwise optimization, an overall whole-cell biocatalytic process was developed and a maximum titer of 260.0 mM Neu5Ac (80.4 g/L) with a conversion yield of 43.3% from GlcNAc was achieved. The process can be used for industrial large-scale production of Neu5Ac in terms of efficiency and economy.
URI: http://hdl.handle.net/10321/2442
ISSN: 1381-1177
DOI: https://doi.org/10.1016/j.molcatb.2015.11.027
Appears in Collections:Research Publications (Applied Sciences)

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