MICROBIAL RISK ASSESSMENT IN STORED AGRICULTURAL PRODUCTS: ENSURING FOOD SAFETY THROUGH PREDICTIVE MODELING

Authors

  • Sirojiddinov Asliddin Gulistan state university

DOI:

https://doi.org/10.55640/

Keywords:

Microbial risk, food safety, predictive modeling, agricultural storage, contamination, pathogens, shelf life.

Abstract

Microbial contamination in stored agricultural products poses serious threats to food safety and public health. This study aims to assess microbial risks during storage using predictive modeling tools that simulate microbial growth under varying environmental conditions. The research outlines common pathogens, critical control points in storage systems, and evaluates existing mitigation strategies. The findings highlight the importance of integrated microbial monitoring systems and suggest tailored interventions to reduce contamination and ensure food safety.

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References

1. Magan, N., & Aldred, D. (2007). Post-harvest control strategies: minimizing mycotoxins in the food chain. International Journal of Food Microbiology, 119(1-2), 131–139.

2. McMeekin, T. A., Olley, J., Ross, T., & Ratkowsky, D. A. (2002). Predictive microbiology: towards the interface and beyond. International Journal of Food Microbiology, 73(2-3), 395–407.

3. Buchanan, R. L., Smith, J. L., & Long, W. (2000). Microbial risk assessment: dose-response relations and risk characterization. International Journal of Food Microbiology, 58(3), 159–172.

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Published

2025-08-09

How to Cite

MICROBIAL RISK ASSESSMENT IN STORED AGRICULTURAL PRODUCTS: ENSURING FOOD SAFETY THROUGH PREDICTIVE MODELING. (2025). Journal of Multidisciplinary Sciences and Innovations, 4(7), 163-164. https://doi.org/10.55640/

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