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Record W6931704230 · doi:10.5281/zenodo.7219630

INFLUENCE OF ICE GLAZING AND LONG TERM STORAGE ON SOME QUALITY PARAMETERS OF ROHU FILLETS DURING FROZEN STORAGE

2022· article· en· W6931704230 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTGF-β signaling in diseases
Canadian institutionsnot available
Fundersnot available
KeywordsGlazingMoistureThiobarbituric acidLipid oxidationShelf lifeIce cream

Abstract

fetched live from OpenAlex

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). Official Methods of Analysis. 16th Edn., Association of Official Analytical Chemists, Washington DC., USA. Aberoumand A., Impact of freezing on nutritional composition of some less known selected fresh fishes in Iran . International food research journal, 20(1), 347-350 (2013). APHA (1984). Compendium of method of microbiological examination of foods. 2nd Edn., American Public Health Association, Washington DC. Arannilewa, S.T., Salawu, S.O., Sorungbe, A.A. and Salawu, O.B.B. (2005). Effect of frozen period on the chemical, microbiological and sensory quality of frozen, tilapia fish (Sarotherodun galiaenus). African Journal of Biotechnology, 4 (8): 852-855. Aubourg, S.P., Alonso, F. and Gallardo, J.M. (2004). Studies on rancidity inhibition in frozen horse mackerel (Trachurus trachurus) by citric and ascorbic acids. European Journal of Lipid Science and Technology, 106: 232–240. Bao, H. N. D., Arason, S. and Iorarinsdottir, K.A. (2007). Effects of Dry Ice and Superchilling on Quality and Shelf Life of Arctic Charr (Salvelinus alpinus) Fillets; International Journal of Food Engineering: 3(3)/7: 1-27. Benjakul, S., Visessanguan, W., Thongkaew, C. and Tanaka, M. (2003).Comparative study on physicochemical changes of muscle proteins from some tropical fish during frozen storage. Food Res. Inte.,6:787-795. Benjakul,S., Visessanguan, W., Thongkaew, C. and Tanaka, M. (2005) Effect of frozen storage on chemical and gel forming properties of fish commonly used for surimi production in Thailand. Food hydrocolloids, 19:197-207. Bhat, Z.F., Pathak, V., Bukhari S.A.A., Ahmad S.R. and Bhat, H. (2010). Quality changes in Chevon Harrisa (Meat based product) during refrigerated storage. Intr. J. Meat Sci. Chaijan, M., Benjakul, S., Visessanguan, W. and Faustman, C. 2006. Changes of lipids in sardine (Sardinella gibbosa) muscle during iced storage. Food Chemistry, 99: 83-91. Emire, A.S. and Gebremariam, M.M.(2009). Influence of frozen period on the proximate composition and microbiological quality of nile tilapia fish (Oreochromis niloticus) Journal of Food Processing and Preservation.,34:743-757. Erkan, N. and Ozden, O. (2008). Quality assessment of whole and gutted sardines (Sardina pilchardus) stored in ice. Int. J. Food Sci., 1549-1555. Folch, J., Less, M. and Sloane, G.W.S. (1957). A simple method for the isolation and purification of total lipids from animal tissues. J. Biol. Chem., 226: 497–509. Gandotra R., Koul M., Gupta S. and Sharma S., Change in proximate composition and microbial count by low temperature preservation in fish muscle of Labeo rohita(Hambuch ), IOSR Journal of pharmacy and biological sciences , 2(1), 13-17 (2012). Gram, L., Trolle, G. and Huss, H.H (1987). Detection of specific spoilage bacteria from fish stored at low (00C) and high temp.(200C). Int.J.Food Microbiol.,4:65-72 Gram, L. and Huss, H.H. (2000). Fresh and processed fish and shellfish. In: Lund, B.M., T.C. Baird-Parker and G.W. Gould (eds.) The microbiological safety and quality of foods. Aspen Publishers Inc., Gaitherburg, Maryland, USA. 472-506. Gram, L., Ravn, L., Rasch, M., Bruhn, J.B.,Christensen, A.B. and Givskov, M. (2002). Food spoilage - interactions between food spoilage bacteria. International Journal of Food Microbiology, 78:79-97. Huss, H.H. (1995). Quality and Quality Changes in Fresh Fish. FAO Fisheries technical paper No. 348., FAO, Rome, Italy. International Commission on Microbiological Specifications for Foods (1986). Sampling plans for fish and shellfish, In: Microorganisms in Foods. Sampling for Microbiological Analysis: Principles and Scientific Applications, University of Toronto Press, Toronto, Canada: 2(2):181-196. Jezek F. and Buchtova H., Shelf life of freeze thawed fillets of common carp (Cyprinus carpio L.) and silver carp (Hypophthalmichthys molitrix V .) packed under air, 20 th Int. Symp. “Animal science days”, Kranjska gora, Slovenia, Sept. 19 th -21 st , 2012 (2012). Kandeepan, G. and Biswas S., (2007). Effect of low temperature preservation on quality and shelf life of buffalo meat. Am. J. Food Technol., 2: 126-135. Keller J.E., Kelly G.C. and Acton J.C., Effect of meat particle size and casing diameter on summer sausage properties during drying, Journal of Milk Food Technol , 37, 101-106 (1974) Keyvan A., Moini S., Ghaemi N., Haghdoost A.A., Jalili S. and Pourkabir M., Effect of frozen storage time on the lipid deterioration and protein denaturation during Caspian sea white fish ( Rutilus frisi kutum ), Journal of fisheries and aquatic sciences, 3(6), 404-409 (2008). Koniecko E.K., In: Handbook for meat chemists. Avery Publishing group Inc., Wayne, New Jersey, USA, (1979) Liston, J. (1957) The occurrence and distribution of bacterial types on flat fish, J. Gen. Microbio., 16: 205-216. Liu, S., Fan, W., Zhong, S., Ma, C., Li, P., Zhou, K., Peng, Z. and Zhu, M.(2010). Quality evaluation of tray-packed tilapia fillets stored at 0°C based on sensory, microbiological, biochemical and physical attributes. African Journal of Biotechnology, 9(5): 692-701. Lowry, O.H., Rosenbrough, N.J., Farr, A.L. and Randall, R.J. (1951). Protein measurement with the folin phenol reagent. J. Biol. Chem., 193: 265-275. Manzano, M.M.A., Aguilar, P.R., Rojas, D.E.I. and Sánchez, M.E. (2000). Postmortem changes in black skipjack muscle during storage in ice. Journal of Food Science, 65: 774-779. Strange E.D., Benedict R.C., Smith J.L. and Swift C.E., Evaluation of rapid tests for monitoring alterations in meat quality during storage, J. Food Prot ., 10, 843-847 (1977). Ola, J.B. and Oladipo, A.E. (2004). Storage life of Croaker (Pseudotholitus senegalensis) in ice and ambient temperature. African Journal of Biomedical Research., 7: 13-17. Ozogul, Y., Boga, E.B., Tokur, B. and Ozogul, F. (2011). Changes in biochemical, sensory and microbiological quality indices of common sole (Solea solea) from the mediterranean sea during ice storage. Turkish Journal of Fisheries and Aquatic Science, 11:243-251. Ryder, J.M., Buisson, D. H., Scott, D. N. and Fletcher, G. C. (1984). Storage of New Zealand Jack mackerel (Trachurus novaezelandiae) in ice: chemical, microbiological and sensory assessment. Journal of Food Science, 49: 1453-1456. Siddique, M.N., Hasan, M.J., Reza, M.Z., Islam, M.R., Boduruzaman M., Forhadur, M. and Reza, S. (2011). Effect of freezing time on nutritional value of Jatpunti (Puntius sophore), Sarpunti (P. sarana) and Thaisarpunti (P. gonionotus). Bangladesh Research Publications Journal, 5(4): 387-392. Witte V.C., Krause G.F. and Bailey M.B., A new extraction method for determining 2-thiobarbituric acid analysis, J. Food Sci., 35, 582 (1970) . Zamir, M., Qasim, R. and Ullah, A. (1998). Changes in physical and chemical constituents of crab meat during storage at refrigerator temperature (7±2°C). Pak. J. of Pharma. Sci., 11(1): 27-33. Zoldos, P., Popelka, P., Marcinak, S., Naggy, J., Mesarcova, L., Pipova, M., Jevinova, P., Negyova, A.Z. and Mala, L.(2011). The effect of glaze on the quality of frozen stored alaska pollack(Theragra chalcogramma) fillets under stable and unstable conditions. ACTA VET.BRNO. 80:299-304.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.022
GPT teacher head0.255
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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