Вплив параметрів процесу обробки яєчних омлетів високим тиском на їх мікробіологічну безпечність
Bibliographic record
Abstract
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. 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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
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.006 |
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.
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; both teacher heads agree on what is shown here.
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".