Evidence map›Paper›PMID 42177748›Full record

ArticleAMB Express2026

Optimization of fermentation medium for advancing postbiotic antibacterial activity.

Chajira Garrote-Achou, María J Cantalejo-Díez, Alejandra Flandes-de-Cía

Abstract read
In one paragraph

Article in AMB Express, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chajira Garrote-AchouInstitute for Sustainability & Food Chain Innovation (IS-FOOD), Public University of Navarre (UPNA), Arrosadia Campus, Pamplona, 31006, Spain.
María J Cantalejo-DíezInstitute for Sustainability & Food Chain Innovation (IS-FOOD), Public University of Navarre (UPNA), Arrosadia Campus, Pamplona, 31006, Spain. iosune.cantalejo@unavarra.es.
Alejandra Flandes-de-CíaDepartment of Research and Development, PENTABIOL S.L, Esquiroz, 31191, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial postbiotic compounds have attracted increasing interest due to their potential applications in the food industry, particularly as candidates for biopreservation strategies. From a technological perspective, process optimization represents a valuable strategy for improving the production of postbiotic compounds and supporting the development of efficient fermentation bioprocesses. This study aimed to optimize the culture medium to enhance the antibacterial activity of a postbiotic derived from Pediococcus acidilactici CECT 9879. Plackett-Burman design (PBD) was first used to screen carbon and nitrogen sources, followed by one-factor-at-a-time (OFAT) experiments to evaluate yeast-derived ingredients and MRS-derived basal medium components, and response surface methodology based on a central composite design (CCD-RSM) for final medium optimization. Significant linear, quadratic, and interaction effects of key medium components, particularly yeast-derived ingredients and sodium acetate, were identified, indicating well-defined optimal concentration ranges. Under optimized composition, the minimum inhibitory concentration (MIC) against Escherichia coli decreased from 48.33 ± 2.89% (v/v) in the non-optimized medium to 31.67 ± 2.89% (v/v). The results highlight the role of nutrient optimization in modulating postbiotic antibacterial activity during fermentation and provide insights that may contribute to improving process efficiency in the agri-food sector.

Indexed as

Animal-free culture mediumFunctional activityLactic acid bacteriaResponse surface methodology

Identifiers

PMID42177748
PMCPMC13375995

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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.