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Application of Predictive Microbiology in Monitoring S. aureus Growth in Raw Chicken Meat

Application of Predictive Microbiology in Monitoring S. aureus Growth in Raw Chicken Meat

Shaimaa M. Ahmed1, Gehan M.A. Kassem1*, Fernando Pérez-Rodríguez2, Heba H.S. Abdel-Naeem1 

1Department of Food Hygiene and Control, Faculty of Veterinary Medicine, Cairo University, Giza, 12211, Egypt; 2Department of Food Science and Technology, Faculty of Veterinary, Agrifood Campus of International Excellence (CeiA3), University of Córdoba, 14014, Córdoba, Spain.

*Correspondence | Gehan M.A. Kassem Department of Food Hygiene and Control, Faculty of Veterinary Medicine, Cairo University, Giza, 12211, Egypt; Email: [email protected]  

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Figure 1

Bacterial growth curve showing the change in logarithm of bacterial count and change in O.D as a function of time 

Figure 2

Calibration curve of S. aureus growth estimating the linear relation between O.D in log scale and bacterial counts (CFU/g) 

Figure 3

Modelling of S. aureus growth using turbidity method through transforming O.D data to bacterial count by linear equation 

Figure 4

Modelling of S. aureus growth using plate count method 

Figure 5

S. aureus counts (Log10 CFU/g) in the chicken breast stored at room temperature (25 °C) and refrigeration temperature (4 °C) for 5 days 

Figure 6

S. aureus counts (Log10 CFU/g) in the chicken thigh stored at room temperature (25 °C) and refrigeration temperature (4 °C) for 5 days 

Advances in Animal and Veterinary Sciences

November

Vol. 12, Iss. 11, pp. 2062-2300

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