Prevention of Lipid Oxidation in Kilka Fillet (Clupeonella Cultriventris) using Biodegradable Packaging in the Refrigerator (3°C)
Bibliographic record
Abstract
Kilka Fish is classified in the fatty fish group and is more perishable than other aquatics. It is very sensitive to oxidation during cold storage. Fat oxidation reduces the quality of Kilka, a decrease in shelf life and economic losses. Because it leads to color change (yellow) of Kilka. Therefore, the present study aimed to evaluate the effects of sodium alginate and whey protein coating on the prevention of fat oxidation of Kilka fillets during 12 days of refrigerated storage. Whey protein 15% and sodium alginate 1% were used at time= 5 min. Uncovered samples were considered as controls. Humidity, peroxide, FFA, TBA, pH, and fat were not significant in the samples covered with whey protein (73.62%, 0.08 meq kg oil-1, 1.01 g 100-1, 0.06 mg kg-1, 6.37 and 4.45%) compared with those covered by sodium alginate (73.91%, 0.05 meq kgoil-1, 1.09 g 100-1, 0.01 mg kg-1, 6.49, and 4.00%) (P>0.05). However, the index chemicals were lower in these samples compared with the control (59.16%, 3.07 meq kgoil-1, 5.73 g 100-1, 2.14 mg kg-1, 6.81 and 3.99%. Unlike fat, the other chemical tests were significant between control and covered samples (p<0.05). Covered samples had good quality at the end of the storage period. However, the control samples lost their quality after 6 days. Fish soaked with sodium alginate had better quality compared with the other samples. The use of sodium alginate is recommended by the seafood processing industry to maintain the quality of kilka during refrigeration.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".