Natural Antioxidant and Antimicrobial Agents and Processing Technologies for the Design of Active Food Packaging Polymers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Over the last decades, food packaging has advanced significantly, which is crucial in maintaining food safety and minimizing waste. However, most traditional food packaging materials in the market are typically made of inexpensive synthetic plastics with a limited scope of providing physical containment and an effective barrier against moisture and gases. In contrast, sustainable active packaging offers a promising solution to extend the shelf-life of food by effectively decreasing the rate of oxidative deterioration and microbial growth while reducing the environmental impact of petrochemical-derived plastics. As a result, there is a significant interest in developing sustainable and active food packaging materials with a low carbon footprint. Natural resource-derived antioxidant and antimicrobial agents are better alternatives to traditional synthetic agents when combined with any biodegradable polymer as it enhances the sustainability portfolio. This review critically evaluates recent trends in developing natural resource-derived antioxidant and antimicrobial agents for active food packaging applications. Various active biobased antioxidant and antimicrobial agents are critically reviewed and discussed, including their structure, physico-chemical properties, and various attributes in food packaging applications. Finally, this review presents an outlook on the future of sustainable and active food packaging materials and highlights the potential challenges in their development and implementation.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 it