A Review of Bacterial Biofilm Components and Formation, Detection Methods, and Their Prevention and Control on Food Contact Surfaces
Bibliographic record
Abstract
The microbial biofilms are a community of microorganisms that adhere to each other and to surfaces, typically in a mucilaginous or gel-like matrix composed of extracellular polymeric substances, including polysaccharides, proteins, lipids, and DNA. In the food industry, the bacterial biofilms may be formed on different surfaces and cause post-processing contamination or cross-contamination from the food contact surfaces to food products. Conventional cleaning and sanitizing methods are often ineffective at removing bacterial biofilms. Among more recent alternative methods proposed to address this problem are the use of hydrolytic enzymes, essential oils, and bacteriocins. These methods show promise since their antibacterial and antibiofilm actions involve degradation of the extracellular polymeric matrix of the biofilm and lead to inhibition of the foodborne pathogens present. Understanding the limitations and mechanisms of action of enzymes, bacteriocins, and essential oils in controlling bacterial biofilms on foods and food contact surfaces is essential for developing solutions to prevent and control biofilm formation. This review critically summarizes the current knowledge of bacterial biofilm components, their formation, detection methods, prevention, and removal from food contact surfaces.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".