Mathematical modeling of microbial growth in milk

Construction of a method for predicting the number of enterobacteria in milk using artifical neural networks

“…There are examples of predicting the number of bacteria in raw milk, including pathogenic microorganisms (Staphylococcus aureus) and useful microflora (Bifidobacterium bifidum and Lactobacillus acidophilus) [20,31]. Earlier research mainly focused on specific kinds of microorganisms and a group of psychrotrophic microorganisms [6,7,19,27]. However, we could not find in the scientific literature any data on forecasting the number of bacteria from the Enterobacteriaceae family in raw milk during storage.…”

“…The internal factors include the chemical composition of the product, water activity, and pH. The external factors include the time and temperature of product storage [7,19]. In a given case, the chosen task was to examine the effect of different content of fat, protein, and a titrated milk acidity index, on enterobacteria.…”

“…Therefore, studying and understanding the behavior of microorganisms in raw materials and ready-made food products, which are affected by environmental factors, is the basis of control over microbiological safety of food. Moreover, a better understanding of this is very important to devise effective strategies for the prevention of food poisoning and diseases associated with food products in each country [6][7][8].…”

“…There is a growing trend towards the application of artificial intelligence in the food microbiology and food safety. Predicting microbiology is a new and important scientific approach, which includes the knowledge on microbial growth in response to environmental factors, generalized in the form of quantitative or mathematical models [6,7,21]. In general, the predicting food microbiology is a prognosis of microbial behavior in food products.…”

“…Most scientific papers [7,19,24,26] report results on predicting the number of certain types of microorganisms in milk, rather than groups of microorganisms. For instance, a group of conditionally pathogenic bacteria.…”