Food safety and food security through predictive microbiology tools: a short review

Meinert C. Bertoli S.L. Rebezov M. Zhakupbekova S. Maizhanova A. Spanova A. Bakhtybekkyzy S. Nurlanova S. Shariati M.A. Hoffmann T.G. de Souza C.K.
2023 HACCP Consulting

Potravinarstvo Slovak Journal of Food Sciences
2023 #17 324 - 342 pp.

This article discusses the issues of food safety and food security as a matter of global health. Foodborne illness and deaths caused by pathogens in food continue to be a worldwide problem, with a reported 600 million cases per year, leading to around 420,000 deaths in 2010. Predictive microbiology can play a crucial role in ensuring safe food through mathematical modelling to estimate microbial growth and behaviour. Food security is described as the social and economical means of accessing safe and nutritious food that meets peoples dietary preferences and requirements for an active and healthy life. The article also examines various factors that influence food security, including economic, environmental, technological, and geopolitical challenges globally. The concept of food safety is described as a science-based process or action that prevents food from containing substances that could harm human health. Food safety receives limited attention from policymakers and consumers in low and middle-income countries, where food safety issues are most prevalent. The article also highlights the importance of detecting contaminants and pathogens in food to prevent foodborne illnesses and reduce food waste. Food and Agriculture Organization (FAO), an institution belonging to World Health Organization (WHO) presented calls to action to solve some of the emerging problems in food safety, as it should be a concern of all people to be involved in the pursue of safer food. The guarantee of safe food pertaining to microbiological contamination, as there are different types of active microorganisms in foods, could be obtained using predictive microbiology tools, which study and analyse different microorganisms behaviour through mathematical models. Studies published by several authors show the application of primary, secondary, or tertiary models of predictive microbiology used for different food products.

food safety , food security , predictive microbiology

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University of Blumenau, Department of Chemical Engineering, Food Preservation & Innovation Laboratory, SC, Blumenau, 89030-000, Brazil
V. M. Gorbatov Federal Research Center for Food Systems, Department of Scientific Research, 26 Talalikhin Str., Moscow, 109316, Russian Federation
Shakarim University, Department of Food Production Technology and Biotechnology, 20A Glinka Str., Semey, 071412, Kazakhstan
Almaty Technological University, Department of Food Biotechnology, 100 Tole Bi Str., Almaty, 050012, Kazakhstan
S. Seifullin Kazakh Agrotechnical University, Department of Food Production Technology, 62 Zhenis Str., Astana, 010000, Kazakhstan
Kazakh Research Institute of Processing and Food Industry, Semey Branch of the Institute, 238«G» Gagarin Ave., Almaty, 050060, Kazakhstan
Leibniz Institute for Agriculture Engineering and Bioeconomny, Department of Systems Process Engineering, Potsdam, 14469, Germany

University of Blumenau
V. M. Gorbatov Federal Research Center for Food Systems
Shakarim University
Almaty Technological University
S. Seifullin Kazakh Agrotechnical University
Kazakh Research Institute of Processing and Food Industry
Leibniz Institute for Agriculture Engineering and Bioeconomny

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