STUDIES ON THE EFFECT OF POTASSIUM SORBATE TREATMENT ON FILLETS OF SILVER CARP (Hypophthalmichthys molitrix)
Bibliographic record
Abstract
ABSTRACT The aim of present study was to investigate the effect of 5% potassium sorbate dip treatment on the fillets of Silver carp stored for 30 days. The fillets were divided into two groups viz. Gp. A (untreated control) and Gp. B (treated with potassium sorbate) and were analyzed for biochemical and microbial parameters. The Gp. B (treated) fillets showed lower values for TBA (Thiobarbituric acid), FFA (Free fatty acid) and ERV (Extract release volume) than the Gp. A. Also, the Total plate count (TPC), Coliform count (CC) and Psychrophillic count (PC) showed a comparative low counts in Gp. B. Thus, the treatment of potassium sorbate is effective in extending the shelf life of refrigerated fish fillets. REFERENCES AOAC (1995). Official Methods of Analysis. 16th Edn., Association of Official Analytical Chemists, Washington DC., USA. APHA (1984). Compendium of method of microbiological examination of foods. 2nd Edn., American Public Health Association, Washington DC. 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Journal of the Agricultural and Food Chemistry 48: 3280–3285. Sallam, K.I. (2007). Antimicrobial antioxidant effects of sodium acetate, sodium lactate and sodium citrate in refrigerated sliced salmon. Food control, 18(5):566- 575. Sofos, J.S.(2000). Sorbic acid. In natural food antimicrobial systems, ed. A.S. Naidu:637-659.Boca Raton, FL:CRC Press. Smoot, L. A. and Pierson, M.D.(1981). Mechanisms of Sorbate Inhibition of Bacillus cereus T and Clostridium botulinum 62A Spore Germination. Applied and Environmental Microbiology.42(3):477-483. Strange, E.D., R.C. Benedict, J.L. Smith and C.E. Swift, 1977. Evaluation of rapid tests for monitoring alterations in meat quality during storage. J. Food Prot., 10: 843-847. Mishra, B.B., Gautam, S. and Sharma, A.(2011). Shelf life extension of sugarcane juice using preservation and gamma radiation processing. J. Food Sci.,76(8):573-578. Yesudhosan, P., Gopal, T.K.S., Ravishankar,C.N.,Lalitha, K.V.and Kumar, A.(2008).Effect of potassium sorbate and modified atmosphere packaging on the shelf-life extension of Seer fish(Scomberomorus commerson) steaks during iced storage. Journal of Food Biochemistry, 34: 399-424. Zhao,J., Li, P., Kong, B., Zhang, M. and Liu, M. (2013).Oxidation Level of vacuum-packaged shredded meat treated with different concentrations of potassium sorbate, sodium diacetate and nisin. Advanced journal of food science and technology, 5(1):24-28.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".