Bioprotective Culture: A New Generation of Food Additives for the Preservation of Food Quality and Safety
Bibliographic record
Abstract
Ensuring food quality and safety will remain a major challenge for the agri-food sector, due in large part to expected limits on the use of conventional microbiological barriers. There is an urgent need to develop new antimicrobial agents that are effective throughout the food manufacturing and distribution chain. The use of lactic acid bacteria and metabolites thereof to increase product shelf life has attracted much interest during recent years. Their potential as preservatives in many food matrices appears to be huge. However, the number of agents approved by regulatory agencies and available for widespread commercial use remains small. In this paper we review the recent literature on the potential of lactic acid bacteria as bioprotective culture in foods and summarize their mechanisms of antimicrobial action, recent applications and potential advantages and limitations in the suppression of spoilage organisms and foodborne pathogens. We also examine various aspects of obtaining regulatory approval for the use of lactic acid bacteria as new food additives.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".