Evidence map›Paper›PMID 35744682›Full record

ArticleMicroorganisms2022

Medium for the Production of

Vanja Vlajkov, Stefan Anđelić, Ivana Pajčin, Mila Grahovac, Dragana Budakov, Aleksandar Jokić, Jovana Grahovac

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Optimisation of cultivation conditions forFrontiers in pharmacology · 2025
    Article
  4. Plants (Basel, Switzerland) · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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

7 authors at 1 institution in 1 country.

Vanja VlajkovFaculty of Technology Novi Sad, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0000-0002-0585-3841
Stefan AnđelićFaculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia.
Ivana PajčinFaculty of Technology Novi Sad, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0000-0001-7133-1518
Mila GrahovacFaculty of Agriculture, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0000-0001-9800-4103
Dragana BudakovFaculty of Agriculture, University of Novi Sad, 21000 Novi Sad, Serbia.
Aleksandar JokićFaculty of Technology Novi Sad, University of Novi Sad, 21000 Novi Sad, Serbia.
Jovana GrahovacFaculty of Technology Novi Sad, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0000-0001-9936-9665
University of Novi Sad · RS

Funding

Science Fund of the Republic of Serbia #6064541, BioSolAfla, PROMIS
6 · The paper itself

Abstract

One of the leading limiting factors for wider industrial production and commercialization of microbial biopesticides refers to the high costs of cultivation media. The selection of alternative sources of macronutrients crucial for the growth and metabolic activity of the producing microorganism is a necessary phase of the bioprocess development. Gaining a better understanding of the influence of the medium composition on the biotechnological production of biocontrol agents is enabled through bioprocess modelling and optimization. In the present study, after the selection of optimal carbon and nitrogen sources, two modelling approaches were applied to mathematically describe the behavior of the examined bioprocess-the production of biocontrol agents effective against aflatoxigenic

Indexed as

ANNbiocontrolbioprocessmodellingoptimizationRSM

Identifiers

PMID35744682
PMCPMC9228200
OpenAlexW4281666159

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.