title: Strategies for Fermentation Medium Optimization: An In-Depth Review.
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.
authors.affiliation: Microbiology Division, Council of Scientific and Industrial Research - Central Drug Research InstituteLucknow, India; Department of Biotechnology, Institute of Engineering and TechnologyLucknow, India.
authors.forename: Vineeta
authors.initials: V
authors.lastname: Singh
authors.affiliation: Department of Biosciences, Jamia Millia Islamia (A Central University)New Delhi, India; Research and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan UniversityJazan, Saudi Arabia.
authors.forename: Shafiul
authors.initials: S
authors.lastname: Haque
authors.affiliation: Microbiology Division, Council of Scientific and Industrial Research - Central Drug Research Institute Lucknow, India.
authors.forename: Ram
authors.initials: R
authors.lastname: Niwas
authors.affiliation: Microbiology Division, Council of Scientific and Industrial Research - Central Drug Research Institute Lucknow, India.
authors.forename: Akansha
authors.initials: A
authors.lastname: Srivastava
authors.affiliation: Microbiology Division, Council of Scientific and Industrial Research - Central Drug Research Institute Lucknow, India.
authors.forename: Mukesh
authors.initials: M
authors.lastname: Pasupuleti
authors.affiliation: Fermentation Technology Division, Council of Scientific and Industrial Research - Central Drug Research InstituteLucknow, India; Department of Biotechnology, Shri Ramswaroop Memorial UniversityLucknow, India.
authors.forename: C K M
authors.initials: CK
authors.lastname: Tripathi
keywords: ANN; OFAT; RSM; genetic algorithm; media optimization