Simplified Approach to Predict Food Safety through the Maximum Specific Bacterial Growth Rate as Function of Extrinsic and Intrinsic Parameters

Currently, we assist the emergence of sensors and low-cost information communication technologies applied to food products, in order improve safety quality along chain. Thus, it is relevant implement predictive mathematical modeling tools predict changes allow decision-making for expiration dates. To perform that, Baranyi Roberts model online tool Combined Database Predictive Microbiology (Combase) were used determine factors that define growth different bacteria. These equation determines maximum specific rate establish a relation between bacterial intrinsic extrinsic bacteria environment. models may be programmed wireless biochemical sensor devices packaging supply chains promote through real time traceability.