Document Type

Article

Rights

This item is available under a Creative Commons License for non-commercial use only

Disciplines

1.1 MATHMATICS, Bioinformatics, 1.3 PHYSICAL SCIENCES, 1.4 CHEMICAL SCIENCES, 1.5 EARTH AND RELATED ENVIRONMENTAL SCIENCES, 1.6 BIOLOGICAL SCIENCES

Publication Details

Bioengineering 2018, 5, 89;

Abstract

The production of high yields of soluble recombinant protein is one of the main objectives of protein biotechnology. Several factors, such as expression system, vector, host, media composition and induction conditions can influence recombinant protein yield. Identifying the most important factors for optimum protein expression may involve significant investment of time and considerable cost. To address this problem, statistical models such as Design of Experiments (DoE) have been used to optimise recombinant protein production. This review examines the application of DoE in the production of recombinant proteins in prokaryotic expression systems with specific emphasis on media composition and culture conditions. The review examines the most commonly used DoE screening and optimisation designs. It provides examples of DoE applied to optimisation of media and culture conditions.

DOI

10.3390/bioengineering5040089

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