Evidence map›Paper›PMID 28111566›Full record

ReviewFrontiers in microbiology2016

Strategies for Fermentation Medium Optimization: An In-Depth Review.

Vineeta Singh, Shafiul Haque, Ram Niwas, Akansha Srivastava, Mukesh Pasupuleti, C K M Tripathi

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 199 papers.

0numbers the graph read from it
0cells of the map it votes in
199citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

199 citing papers in PubMed.

  1. Article
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  15. Process optimization ofFrontiers in nutrition · 2026
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

139 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Vineeta SinghMicrobiology Division, Council of Scientific and Industrial Research - Central Drug Research InstituteLucknow, India; Department of Biotechnology, Institute of Engineering and TechnologyLucknow, India.
Shafiul HaqueDepartment 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.
Ram NiwasMicrobiology Division, Council of Scientific and Industrial Research - Central Drug Research Institute Lucknow, India.
Akansha SrivastavaMicrobiology Division, Council of Scientific and Industrial Research - Central Drug Research Institute Lucknow, India.
Mukesh PasupuletiMicrobiology Division, Council of Scientific and Industrial Research - Central Drug Research Institute Lucknow, India.
C K M TripathiFermentation Technology Division, Council of Scientific and Industrial Research - Central Drug Research InstituteLucknow, India; Department of Biotechnology, Shri Ramswaroop Memorial UniversityLucknow, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ANNgenetic algorithmmedia optimizationOFATRSM

Identifiers

PMID28111566
PMCPMC5216682

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.