Resumen

HERRERA-MEJIA, María Juliana; SARMIENTO, Alfonso Tullio  y  SOTELO-DIAZ, Luz Indira. Predictive model of microorganism mesophiles in processed meat products during storage under fluctuating temperatures. Dyna rev.fac.nac.minas [online]. 2019, vol.86, n.208, pp.46-52. ISSN 0012-7353.  https://doi.org/10.15446/dyna.v86n208.66777.

The aim of this investigation was to develop a predictive model of microorganism mesophiles in processed meat products during storage under fluctuating temperatures between 1°C to 7°C to establish the shelf removal date of the products based on mesophiles limits established by Colombian Technical Standard NTC 1325 of 2008 for non-canned processed meat products. The variables used in the model were as follows: temperature, storage time and population of microorganisms at the beginning of storage. The S curve of the growth of the microorganisms was approximated by sections using a multivariate quadratic regression equation. The model achieved 91% accuracy for the prediction of the shelf removal date. In terms of practicality, the model offers a simpler alternative to traditional models for the prediction of microorganisms that require a greater amount of parameters and data.

Palabras clave : microorganisms mesophiles; multivariate quadratic regression model; processed meat products; the mean absolute percentage error (MAPE); fluctuating storage temperature; shelf removal date.

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