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Review
. 2017 Jan 6:7:2087.
doi: 10.3389/fmicb.2016.02087. eCollection 2016.

Strategies for Fermentation Medium Optimization: An In-Depth Review

Vineeta Singh  1 , Shafiul Haque  2 , Ram Niwas  3 , Akansha Srivastava  3 , Mukesh Pasupuleti  3 , C K M Tripathi  4
Affiliations
Review

Strategies for Fermentation Medium Optimization: An In-Depth Review

Vineeta Singh et al. Front Microbiol. .

Abstract

Optimization of production medium is required to maximize the metabolite yield. This can be achieved by using a wide range of techniques from classical "one-factor-at-a-time" to modern statistical and mathematical techniques, viz. artificial neural network (ANN), genetic algorithm (GA) etc. Every technique comes with its own advantages and disadvantages, and despite drawbacks some techniques are applied to obtain best results. Use of various optimization techniques in combination also provides the desirable results. In this article an attempt has been made to review the currently used media optimization techniques applied during fermentation process of metabolite production. Comparative analysis of the merits and demerits of various conventional as well as modern optimization techniques have been done and logical selection basis for the designing of fermentation medium has been given in the present review. Overall, this review will provide the rationale for the selection of suitable optimization technique for media designing employed during the fermentation process of metabolite production.

Keywords: ANN; OFAT; RSM; genetic algorithm; media optimization.

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Figures

Figure 1
Figure 1
Schematic diagram of a systematic approach of fermentation medium designing.
Figure 2
Figure 2
Schematic representation of various techniques used in optimization studies.
Figure 3
Figure 3
Multilayer feed forward network with one hidden layer.
See this image and copyright information in PMC

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