Microbial Preservation Performance of Cold Storage Units Assessed by Modeling of Time–Temperature Data

Author:

Martínez Martínez Enrique,Cortés Andrés García,de la Cruz Quiroz Reynaldo,Alejandro José Guadalupe Ríos,Fagotti Fabian,Torres J. AntonioORCID

Funder

CONACyT – Mexico

Tecnologico de Monterrey

Tecnologico de Monterrey, Author AGC doctoral tuition waiver

Embraco Mexico S de RL de CV

Publisher

Springer Science and Business Media LLC

Reference69 articles.

1. Abbas, K. A., Saleh, A. M., Mohamed, A., & Lasekan, O. (2009). The relationship between water activity and fish spoilage during cold storage: A review. Journal of Food, Agriculture & Environment, 7, 86–90.

2. Akkermans, S., Nimmegeers, P., & van Impe, J. F. (2018). A tutorial on uncertainty propagation techniques for predictive microbiology models: A critical analysis of state-of-the-art techniques. International Journal of Food Microbiology, 282, 1–8.

3. Almonacid-Merino, S. F., & Torres, J. A. (2010). Uncertainty of microbial shelf-life estimations for refrigerated foods due to the experimental variability of the model parameters. Journal of Food Process Engineering, 33(S1), 66–84.

4. Andritsos, N. D., Stasinou, V., Tserolas, D., & Giaouris, E. (2021). Temperature distribution and hygienic status of domestic refrigerators in Lemnos island. Greece Food Control, 127(108121), 1–7.

5. ANSI. (2008). AHAM HRF-1–2008: Energy and internal volume of refrigerating appliances. American National Standards Institute & Association of Home Appliance Manufacturers, Chicago, IL.

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