DEVELOPMENT OF A PREDICTIVE MODEL OF SALMONELLA INACTIVATION IN INFANT FORMULA SUBMITTED TO OHMIC HEATING

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Detalles
  • Tipo de presentación: Pôster
  • Eje temático: Ingeniería de procesos y tecnologías emergentes
  • Palabras clave: predictive microbiology; emerging technologies; Infant formula;
  • 1 Universidade Estadual de Campinas
  • 2 Departamento de Bromatologia / Universidade Federal Fluminense
  • 3 Faculdade de Engenharia de Alimentos / Universidade Estadual de Campinas
  • 4 Instituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro

DEVELOPMENT OF A PREDICTIVE MODEL OF SALMONELLA INACTIVATION IN INFANT FORMULA SUBMITTED TO OHMIC HEATING

Roberto Pessanha da Silva Pires

Universidade Estadual de Campinas

Resúmenes

Infant formulas have already had many problems of contamination by Salmonella around the world. This work aims to verify a model of Salmonella inactivation using ohmic heating, a well-employed emerging technology in dairy products. For each sample, 200 mL of resolubilized infant formula was used and inoculated with a pool of 5 Salmonella strains (Salmonella Typhi ATCC 19214, Salmonella Typhimurium ATCC 14028, Salmonella Agona LMQA-747, Salmonella Cubana LMQA-826 and Salmonella Mbandaka LMQA-734) to the concentration of 108 CFU mL-1. Samples were treated by ohmic heating (6 V cm-1, 60 Hz) at 50 °C (45 min), 55 °C (24 min) and 60 °C (4 min), causing reductions of 3.04, 4.69 and 5.97 log CFU mL-1, respectively. The inactivation treatments resulted in reduction rates of 0.07, 0.19 and 1.49 CFU mL-1 min-1 at 50, 55 and 60 °C, respectively. The Weibull model showed the best fit to the generated data, presenting high values of R2 (R2>0.96) and low values of RMSE (RMSE <0.34), according to add-in GinaFit for Microsoft Excel v1.7, with δ (approximate time for decay of 1 log CFU mL-1) values of 18.75, 3.24 and 0.19 min and p (indication of curve format) values of 1.27, 0.76 and 0.59 at 50, 55 and 60 °C, respectively. Based on the parameters of the primary model, it was built the secondary model formula: “log δ = -0.1994×T + 11.322”. With the secondary model formula, Salmonella concentration can be predicted at a given time of treatment, at a certain temperature between 50 and 60 °C. It can be concluded that in the tested temperature range, ohmic heating is very effective in the treatment of infant formulas against Salmonella.

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