Evidence map›Paper›PMID 36645491›Full record

ArticleBioprocess and biosystems engineering2023

Enhanced biosurfactant production by Bacillus subtilis SPB1 using developed fed-batch fermentation: effects of glucose levels and feeding systems.

Mouna Bouassida, Ines Mnif, Dhouha Ghribi

Abstract read
PubMed Publisher
In one paragraph

Article in Bioprocess and biosystems engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Application of Biosurfactants in Medical Sciences.Molecules (Basel, Switzerland) · 2024
    Review
  7. Review
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

3 authors at 1 institution in 1 country.

Mouna BouassidaLaboratoire d'Amélioration Des Plantes Et de Valorisation Des Agro-Ressources, Ecole Nationale d'Ingénieurs de Sfax, Sfax, Tunisia.
Ines MnifLaboratoire de Biochimie Et Génie Enzymatique Des Lipases, Ecole Nationale d'Ingénieurs de Sfax, BP W, 3038, Sfax, Tunisia. inesmnif2011@gmail.com.
Dhouha GhribiLaboratoire d'Amélioration Des Plantes Et de Valorisation Des Agro-Ressources, Ecole Nationale d'Ingénieurs de Sfax, Sfax, Tunisia.
University of Sfax · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biosurfactants stand for highly useful and promising compounds. They basically serve for a variety of applications in multiple industries and aspects of human life. Therefore, it is highly required to improve their production yield especially through the development of new and more efficient fermentation processes. In this aim, batch and fed-batch were studied and compared in terms of their effective biosurfactant production by Bacillus subtilis SPB1. Experiments of fed-batch fermentations were carried out through three different glucose feeding strategies, namely the pulsed, the constant Donespeed and the exponential feeding. The comparison between different fermentation processes revealed that fed-batch process proved to be a more efficient cultivation strategy than the batch process in terms of cell biomass, biosurfactant production and productivity. Among the three different feeding strategies, the exponential feeding process achieved the highest fermentation results of final biosurfactant concentration. The latter increased more than twofolds compared to batch fermentation.

Indexed as

Bacillus subtilisBioreactorsBiomassFermentationGlucoseHumansGlucoseBatchBiomassBiosurfactantFed-BatchFermentation

Identifiers

PMID36645491
OpenAlexW4316662372

What OpenQuestion holds

Textmetadata
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.