Effect of cold plasma on lipid oxidation of fish and fish‐based products: a review
Bibliographic record
Abstract
Summary Lipid oxidation is a major concern in preserving fish and its products, as it affects their quality, shelf life, and consumer acceptance. Cold plasma technology has emerged as a promising method for extending the shelf life of perishable products, including fish. However, the impact of cold plasma on lipid oxidation remains uncertain, as studies have reported conflicting findings. This review provides an up‐to‐date overview of the effects of cold plasma treatment on lipid oxidation in fish and fish‐based products, synthesising existing literature in the field. A comprehensive analysis of factors such as plasma generation techniques, treatment parameters, fish species, and lipid composition is conducted to elucidate the observed discrepancies in outcomes. In conclusion, current research suggests that moderate oxidation does not have adverse effects on overall sensory quality and may even enhance the flavour of fish. The degree of oxidation can be controlled through plasma parameters, thereby improving the quality of fish and fish products.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".