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Cited by 629Microbial Metabolic Engineering and BioproductionOptimal Experimental Design MethodsAdvanced Scientific Research Methods

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Strategies for Fermentation Medium Optimization: An In-Depth Review

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Singh, Vineeta, Haque, Shafiul, Niwas, Ram, Srivastava, Akansha, Pasupuleti, Mukesh, Tripathi, C. K. M.·2017·Frontiers in Microbiology
DOI 10.3389/fmicb.2016.02087PMC PMC5216682
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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.

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  • The quantity of inorganic salts that must be added to the fermentation medium varies depending on the nutritional requirements of the organism, the composition of the culture medium, and the type of desired end product.

    “The quantity of inorganic salts that must be added to the fermentation medium varies depending on the nutritional requirements of the organism, the composition of the culture medium, and the type of desired end product [51].”

    From Optimization of Bacillus subtilis PW12 biomass production using RSM: a preliminary study towards single-cell protein production for aquaculture (2024) · cites this paper as [51]

    The Phosphate subsection (page not provided) says the amount of phosphate added depends on the broth’s composition, the organism’s needs, and the desired product. The claim extends that statement from phosphate to inorganic salts generally, which the cited passage does not establish. (LLM, conf=0.86)

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Authors
Singh, V., Haque, S., Niwas, R., Srivastava, A., Pasupuleti, M., & Tripathi, C. K. M.
Affiliations
  • Central Drug Research Institute (IN)
  • Jamia Millia Islamia (IN)
Corresponding author
Tripathi, C. K. M.
ORCID
Venue
Frontiers in Microbiology
Publisher
Frontiers Media SA
Published
2017-01-06
Volume
7
Pages
2087-2087
ISSN
1664-302X (ISSN-L)
DOI
10.3389/fmicb.2016.02087
PMC
PMC5216682
OpenAlex
W2570879358
Cited by
629
References
1
Citations by year
2026: 64 · 2025: 113 · 2024: 90 · 2023: 77 · 2022: 88 · 2021: 69 · 2020: 57 · 2019: 39 · 2018: 26 · 2017: 4
FWCI
3.23
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Frontiers in Microbiology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
Department of Science and Technology, Ministry of Science and Technology (SR/FT/LS-190/2009)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Advanced Scientific Research Methods
Keywords
fermentation medium optimization, metabolite production, one-factor-at-a-time method, artificial neural networks, genetic algorithm, hybrid optimization

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