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Record W3214462378

Вплив параметрів процесу обробки яєчних омлетів високим тиском на їх мікробіологічну безпечність

2019· article· uk· W3214462378 on OpenAlexaboutno aff
Valerii Sukmanov, Н. В. Герман, Nicholas Herman, Денис Анатолійович Миронов, Анатолій Анатолійович Палаш

Bibliographic record

Venuenot available
Typearticle
Languageuk
FieldBiochemistry, Genetics and Molecular Biology
TopicMagnetic and Electromagnetic Effects
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

Purpose. Egg omelet is one of the most valuable human foods. Unfortunately, this product is not intended for long-term storage. The purpose of the study is to establish the nature of the influence of high-pressure processing parameters on mixed egg omelets with various fillers in order to ensure its microbiological safety during long-term storage. The research method is high-pressure processing of egg omelets with fillers and investigation of their microbiological safety. The process of producing egg omelets with various fillings (cheese, bacon, fried mushrooms) for long time storage consists of mixing the liquid chicken egg with grated or finely chopped cheese (or other ingredients), xanthan gum, water or milk, adding spices (salt, pepper), after which the resulting mixture is packaged in a sealed resilient packaging material; then it is heated, immersed in a working chamber, that is a high-pressure unit. Methods. The samples were treated in the range of the following process parameters: preliminary heating of the mixture – to 85-95 °С, pressure – 650-750 MPa, processing time is – up to 8 min. Results. As a result, the dependence of microbiological contamination of egg omelets (E. coli, Pseudomonas fluorecens, Paenibacillus polymyxa and Listeria seeligeri) on the parameters of the process of their high-pressure treatment (pressure value, temperature and duration of the process) has been established. It has been suggested and experimentally established that it is expedient to use kinetic models of the second order to describe the process of inactivation of E. coli. Dependences for the second-order kinetic models in terms of the change in the rates of inactivation of ln (k1) and ln (k2) constants on the pressure have been obtained. Conclusions. The values of microbiological contamination (E. coli, Pseudomonas fluorecens, Paenibacillus polymyxa and Listeria seeligeri) have been determined for long-term storage of egg omletes processed with HP. Keywords: egg omelets with fillers, high pressure, shelf life, microbiological safety. REFERENCES 1. Bridgman, P. W. Pressure Effect on Egg Albumin // J. Biol. Chem. –1914. – Vol. 19. – P. 511. 2. Sokolov, S. A., Sukmanov, V. O. Teoriya ta praktyka zastosuvannya vysokoho tysku u kharchovykh tekhnolohiyakh. Donetsʹk: DonNUET, 2012. – 374 s. 3. Sukmanov, V. O., Sokolov, S. A., Dekanʹ, O. O., Sevatorov, M. M., Piddubnyy, V. A., Shevchenko, O. Yu. Suchasni tekhnolohiyi zabezpechennya yakosti kharchovykh produktiv u protsesi yikh tryvaloho zberihannya. Donetsʹk: DonNUET, 2012. – 308 s. 4. AndrewHoppe, StephanieJung, AnujaPatnaik, Michael G. Zeece. Effect of high pressure treatment on egg white protein digestibility and peptide products. Innovative Food Science & Emerging Technologies. Volume 17, January 2013, P. 54-62. 5. Iesel Van der Plancken, Ann Van Loey, Marc E. Hendrickx. Kinetic study on the combined effect of high pressure and temperature on the physico-chemical properties of egg white proteins. Journal of Food Engineering. Volume 78, Issue 1, January 2007, P. 206-216. 6. Lai K. M., Chuang Y. S., Chou Y. C., Hsu Y. C., Cheng Y. C., Shi C. Y., Chi H. Y., Hsu K. C. Changes in physicochemical properties of egg white and yolk proteins from duck shell eggs due to hydrostatic pressure treatment. Volume 89, Issue 4, P. 729–737. 7. Ajaypal Singh. Evaluation of high pressure processing for improving quality and functionality of egg products. A thesis submitted to the graduate and post-doctoral studies office in partial fulfilment of the requirements of the degree of Doctor of Philosophy. Department of Food Science and Agricultural Chemistry Macdonald Campus, McGill University Ste. Anne-De-Bellevue Quebec, Canada H9X 3V9 August 2012. P. 223. 8. Juliano, P., Clark, S., Koutchma, T., Ouattara, M., Mathews, J. W., Dunne, C. P., Barbosa-Canovas, G. V. Consumer and trained panel evaluation of high pressure thermally treated scrambled egg patties. Journal of Food Quality. Volume 30, Issue 1. February 2007, P. 57–80. 9. Sukmanov, V. A., Sokolov, S. A. Harkusha, V. B. y dr. Ustanovka dlya yssledovanyya vlyyanyya sverkhvysokoho davlenyya na pyshchevye produkty, Kharʹk. hos. akad. tekhnol. y orh. pytanyya, Kharʹkov (2002), P. 124-126. 10. Sukmanov, V. O., Sokolov, S. A., Holovinov, V. P., Dekanʹ, O. O., Sabirov, O. V. Rozrobka avtomatyzovanoho eksperymentalʹnoho kompleksu dlya obrobky produktiv vysokym tyskom. “Obladnannya ta tekhnolohiyi kharchovykh vyrobnytstv”: Temat. zb. nauk. pr. / Holov. red. O. O. Shubin. – Donetsʹk: DonNUET, 2006. – Vyp. 14. – P. 65–71. 11. Gervilla, R., Capellas, M., Ferragut, V., Guamis, B. Effect of high hydrostatic pressure on Listeria innocua 910 CECT inoculated into ewe's milk // J. Food Prot. – 1997. – Vol. 60. – P. 33–37. 12. Erkmen, O., Karatas, S. Effects of high hydrostatic pressure on Staphylococcus aureus in milk // J. Food Eng. – 1997. – Vol. 33. – P. 257–262. 13. Palou, E., Lopez-Malo, A., Barbosa-Canovas, G. V., Welti-Chanes, J., Davidson, P. M., Swanson, B. G. High hydrostatic pressure come-up time and yeast viability // J. Food Prot. – 1998. – Vol. 61. – P. 1657–1660. 14. Heinz, V., Knorr, D. Effect of pressure and temperature on the death rates of some microorganisms // Food Biotechnology. – 1996. – Vol.10, № 2. – P. 149–161. 15. Ardia, A. Process Considerations on the Application of High Pressure Treatment at Elevated Temperature Levels for Food Preservation: Genehm dis. – Berlin: Technichen Univers., 2004. – 94 p. 16. Sale, A. J., Gould, G. W., Hamilton, W. A. Initiation of bacterial spores by hydrostatistic pressure // J. Gen. Microbiol. – 1970. – № 60. – P. 323–334. 17. Ludwig, H., van Almsick, G., Schreck, C. The effect of hydrostatic pressure on the survival of microorganisms // Biological systems under extreme conditions. NY: Ac. Pr. Inc., 1998. – P. 239–255. 18. Smelt, J. P., Rijke, A. G., Hayhurst, A. Possible mechanism of high pressure inactivation of microorganisms // High Press. Res. – 1994. – № 12. – P. 199–203. 19. Volʹkenshteynm, M. V. Byofyzyka. – M.: Nauka 1988. – 592 s. 20. Johnson, F. H. The action of pressure and temperature // Microbial Ecology. – Cambrige: Cambrige University Press, 1957, P. 134–167. 21. Johnson, F. H., Campbell, D. H. The retardation of protein denaturation by hydrostatic pressure // Journal of Cell Comp. Physiol. – 1945. – №26. – P. 43–46. 22. Fynkelʹshteyn, A. V., Ptytsyn, O. B. Fyzyka belka. – M.: KDU, 2005. – 456 s. 23. Volʹkenshteyn, M. V. Molekulyarnaya byofyzyka. – M.: Nauka, 1988. – 612 s. Published:   2019-01-15

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.539
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.006

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 head0.001
GPT teacher head0.190
Teacher spread0.188 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
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
Published2019
Admission routes1
Has abstractyes

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