ArticleFoods (Basel, Switzerland)2020
The Role of Biofilms in the Development and Dissemination of Microbial Resistance within the Food Industry.
Article in Foods (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Microbial Community Associations With Listeria monocytogenes in Food Processing Environments: A Systematic Review and Meta-Analysis.Comprehensive reviews in food science and food safety · 2025Pooled it
- Biofilm-mediated antimicrobial resistance among meat-borne pathogens in Al-Suwaria, Iraq: A cross-species investigation from retail markets.Veterinary world · 2025Article
- Mucosomes as next-generation drug carriers for treating mucus-resident bacterial infections and biofilms.Scientific reports · 2025Article
- A facile one step route that introduces functionality to polymer powders for laser sintering.Nature communications · 2024Article
- Typhoid Fever and Non-typhoidal Salmonella Outbreaks: A Portrait of Regional Socioeconomic Inequalities in Brazil.Current microbiology · 2024Article
- Biofilm formation in food processing plants and novel control strategies to combat resistant biofilms: the case ofFood science and biotechnology · 2023Review
- Antimicrobial, Antibiofilm, and Antioxidant Potentials of Four Halophytic Plants,Antibiotics (Basel, Switzerland) · 2023Article
- Single- and Dual-Species Biofilm Formation by Shiga Toxin-ProducingMicroorganisms · 2021Article
- Assessment of the Antibiotic Resistance Profile, Genetic Heterogeneity and Biofilm Production of Methicillin-ResistantFoods (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biofilms are multicellular sessile microbial communities embedded in hydrated extracellular polymeric matrices. Their formation is common in microbial life in most environments, while those formed on food-processing surfaces are of considerable interest in the context of food hygiene. Biofilm cells express properties that are distinct from planktonic ones, in particular, notorious resistance to antimicrobial agents. Thus, a special feature of biofilms is that, once they have been developed, they are hard to eradicate, even when careful sanitization procedures are regularly applied. A great deal of ongoing research has investigated how and why surface-attached microbial communities develop such resistance, and several mechanisms are to be acknowledged (e.g., heterogeneous metabolic activity, cell adaptive responses, diffusion limitations, genetic and functional diversification, and microbial interactions). The articles contained in this Special Issue deal with biofilms of some important food-related bacteria (including common pathogens such as
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.