Jess Vergis , Niveditha Pollumahanti , Radhakrishna Sahu , Deepak B Rawool , Sukhadeo B Barbuddhe
{"title":"Ensuring food safety: microbiological risk assessment strategies","authors":"Jess Vergis , Niveditha Pollumahanti , Radhakrishna Sahu , Deepak B Rawool , Sukhadeo B Barbuddhe","doi":"10.1016/j.cofs.2025.101272","DOIUrl":null,"url":null,"abstract":"<div><div>Food safety is a critical global priority, as foodborne diseases continue to pose significant public health challenges. Ensuring food safety requires robust food hygiene practices, including effective hazard management strategies. A key tool for managing microbial risks is microbial risk assessment (MRA), which involves hazard identification, hazard characterization, exposure assessment, and risk characterization. Various MRA approaches — qualitative, semiquantitative, and quantitative — are employed depending on available data and complexity. Predictive microbiology, utilizing mathematical models, plays a vital role in simulating microbial behavior under different food conditions, enhancing risk predictions. Advances in molecular technologies, such as multi-omics and metagenomics, alongside rapid detection methods, offer new insights into microbial behavior and improve detection accuracy. Risk ranking tools enable targeted interventions by comparing microbial hazards across different food-pathogen scenarios. Integrating these strategies will improve food safety, reduce the burden of foodborne illnesses, and enhance public health globally.</div></div>","PeriodicalId":54291,"journal":{"name":"Current Opinion in Food Science","volume":"62 ","pages":"Article 101272"},"PeriodicalIF":8.9000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Food Science","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214799325000025","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Food safety is a critical global priority, as foodborne diseases continue to pose significant public health challenges. Ensuring food safety requires robust food hygiene practices, including effective hazard management strategies. A key tool for managing microbial risks is microbial risk assessment (MRA), which involves hazard identification, hazard characterization, exposure assessment, and risk characterization. Various MRA approaches — qualitative, semiquantitative, and quantitative — are employed depending on available data and complexity. Predictive microbiology, utilizing mathematical models, plays a vital role in simulating microbial behavior under different food conditions, enhancing risk predictions. Advances in molecular technologies, such as multi-omics and metagenomics, alongside rapid detection methods, offer new insights into microbial behavior and improve detection accuracy. Risk ranking tools enable targeted interventions by comparing microbial hazards across different food-pathogen scenarios. Integrating these strategies will improve food safety, reduce the burden of foodborne illnesses, and enhance public health globally.
期刊介绍:
Current Opinion in Food Science specifically provides expert views on current advances in food science in a clear and readable format. It also evaluates the most noteworthy papers from original publications, annotated by experts.
Key Features:
Expert Views on Current Advances: Clear and readable insights from experts in the field regarding current advances in food science.
Evaluation of Noteworthy Papers: Annotated evaluations of the most interesting papers from the extensive array of original publications.
Themed Sections: The subject of food science is divided into themed sections, each reviewed once a year.