INFLUENCE OF ICE GLAZING AND LONG TERM STORAGE ON SOME QUALITY PARAMETERS OF ROHU FILLETS DURING FROZEN STORAGE
Bibliographic record
Abstract
ABSTRACT This study was designed to investigate the influence of ice glazing on nutritional, chemical and microbial parameters of rohu fillets during frozen storage. Quality assessment of ice glazed rohu for up to 1 months at -12°C was done by the monitoring of nutritional quality, free fatty acids (FFA), thiobarbituric acid (TBA), pH and expressible moisture (EM). Results showed that free fatty acid, primary and secondary oxidation products, expressible moisture and pH value of ice glazed samples were significantly lower than those in control samples (p<0.05). Results indicated that ice glazing was effective in reduce lipid oxidation and increased shelf life of rohu frozen fillets. Similarly the microbial load of ice glazed samples was significantly lower as compared to control samples. Thus the employment of ice glazing alone or in combination with other protective strategies is recommended. Key words: rohu , Frozen storage Lipid oxidation, ice glazing. REFERENCES AOAC (1995). 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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 | 0.000 | 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) | 0.001 | 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 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".