Consumer Studies Focus on Prebiotics, Probiotics, and Synbiotics in Food Packaging: a Review
Bibliographic record
Abstract
Abstract Purpose of Review Dietary consumption of prebiotics, probiotics, and synbiotics has been suggested to improve human health conditions. Functional food products containing live probiotics are flourishing, and their demand seems to be increasing since consumers are more aware of the health benefits of such products. However, specific food packaging is needed to maintain the viability and stability of these products, hence, necessitating advanced technology and processing. This study intends to give academics and industry an overview of food packaging evaluations that concentrate on prebiotics, probiotics, and synbiotics for consumers to gain a wide and clear image. Recent Findings This review provides recent findings from the consumer point of view on the prebiotics, probiotics, or synbiotics incorporated in food packaging based on consumer behavior models. Additionally, various obstacles in the preparation of packing film or coating added with biotics are identified and described. The health benefits of prebiotics-, probiotics-, or synbiotics-containing edible film or coating are also discussed. Future works needed to excel in the preparation and potential of packaging film or coatings with biotics are provided. Summary The development of prebiotics, probiotics, and synbiotics in food packaging is discussed in this study from the consumer’s point of view. With this review, it is hoped to be able to provide precise recommendations for the future development of food packaging that will promote the growth of the food business.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".