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Optimization of medium composition for biomass production of recombinant Escherichia coli cells using response surface methodology

Paper ID Volume ID Publish Year Pages File Format Full-Text
4934 260 2006 6 PDF Available
Title
Optimization of medium composition for biomass production of recombinant Escherichia coli cells using response surface methodology
Abstract

Factorial designs and second order response surface methodology (RSM) for medium optimization were employed for the growth of recombinant Escherichia coli cells carrying a plasmid encoding TaqI endonuclease as a part of the fermentation strategy for general recombinant protein production. The method used was effective in screening for nutritional requirements using limited number of experiments. The concentrations of carbon source (glucose), inorganic nitrogen ((NH4)2HPO4), potassium (KH2PO4) and magnesium (MgSO4·7H2O) sources in medium were changed according to the central composite rotatable design consisting of 29 experiments, and the biomass yield was calculated. The optimum medium composition was found to be 15 g L−1 glucose, 6.6 g L−1 (NH4)2HPO4, 20.1 g L−1 KH2PO4 and 1.7 g L−1 MgSO4·7H2O. The model prediction of 2.72 gDCW L−1 biomass at optimum conditions was verified experimentally as 2.68 gDCW L−1 which is much higher than any value obtained in initial experiments as well as in studies carried out previously. The correlation between biomass growth and TaqI endonuclease enzyme yield obtained under the same medium compositions was also analyzed.

Keywords
Medium design; Recombinant DNA; Enzyme production; Response surface methodology optimization
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Optimization of medium composition for biomass production of recombinant Escherichia coli cells using response surface methodology
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Publisher
Database: Elsevier - ScienceDirect
Journal: Biochemical Engineering Journal - Volume 32, Issue 1, 1 November 2006, Pages 1–6
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us