Elimination of Pathogen Biofilms via Postbiotics from Lactic Acid Bacteria: A Promising Method in Food and Biomedicine
Open accessAbstract
Pathogenic biofilms provide a naturally favorable barrier for microbial growth and are closely related to the virulence of pathogens. Postbiotics from lactic acid bacteria (LAB) are secondary metabolites and cellular components obtained by inactivation of fermentation broth; they have a certain inhibitory effect on all stages of pathogen biofilms. Postbiotics from LAB have drawn attention because of their high stability, safety dose parameters, and long storage period, which give them a broad application prospect in the fields of food and medicine. The mechanisms of eliminating pathogen biofilms via postbiotics from LAB mainly affect the surface adhesion, self-aggregation, virulence, and QS of pathogens influencing interspecific and intraspecific communication. However, there are some factors (preparation process and lack of target) which can limit the antibiofilm impact of postbiotics. Therefore, by using a delivery carrier and optimizing process parameters, the effect of interfering factors can be eliminated. This review summarizes the concept and characteristics of postbiotics from LAB, focusing on their preparation technology and antibiofilm effect, and the applications and limitations of postbiotics in food processing and clinical treatment are also discussed.
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A safer and more practical approach than live probiotics would be to use inactivated microbial cells, cell fractions, or soluble products and metabolites of probiotics, known as postbiotics.
“A safer and more practical approach would be to use inactivated microbial cells, cell fractions, or soluble products and metabolites of probiotics, known as postbiotics [12–14].”
From Coaggregation of oral pathogens by postbiotic lactobacilli (2025) · cites this paper as [13]
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Postbiotics: A Biobased Frontier for Enhancing Food Safety, Functional Foods and Human Health
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- Authors
- Che, J., Shi, J., Fang, C., Zeng, X., Wu, Z., Du, Q., Tu, M., & Pan, D.
- Affiliations
- Ningbo University (CN)
- Corresponding author
- Zeng, Xiaoqun
- Venue
- Microorganisms
- Publisher
- MDPI AG
- Published
- 2024-03-30
- Volume
- 12
- Issue
- 4
- Pages
- 704
- ISSN
- 2076-2607 (ISSN-L)
- PMC
- PMC11051744
- OpenAlex
- W4393352999
- Cited by
- 52
- References
- 139
- Citations by year
- 2026: 31 · 2025: 18 · 2024: 3
- FWCI
- 1.93
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Microorganisms (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (32072195, 41406165, 41641052, 31972093, 31972048, 2022YFD2100603, LR23C200001, 2023SRIP3602)
- National Key Research and Development Program of China (32072195, 41406165, 41641052, 31972093, 31972048, 2022YFD2100603, LR23C200001, 2023SRIP3602)
- Natural Science Foundation of Zhejiang Province for Distinguished Young Scholars (32072195, 41406165, 41641052, 31972093, 31972048, 2022YFD2100603, LR23C200001, 2023SRIP3602)
- SRIP key project of Ningbo university (32072195, 41406165, 41641052, 31972093, 31972048, 2022YFD2100603, LR23C200001, 2023SRIP3602)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bacterial biofilms and quorum sensing
- Life Sciences › Agricultural and Biological Sciences › Food Science › Essential Oils and Antimicrobial Activity
- Keywords
- postbiotics, lactic acid bacteria, antibiofilm activity, biofilm eradication, quorum sensing inhibition, bacterial adhesion, virulence factor inhibition, food processing, clinical management
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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