Dept. of Basic and Applied Sciences, National Institute of Food Technology Entrepreneurship and Management, Haryana 131028, India.
USDA-Agricultural Research Service, USA.
Food Res Int. 2022 Jun;156:111323. doi: 10.1016/j.foodres.2022.111323. Epub 2022 May 2.
With the increasing consumption of packaged and ready-to-eat food products, the risk of foodborne illness has drastically increased and so has the dire need for proper management. The conventional Microbial Risk Assessment (MRA) investigations require prior knowledge of process flow, exposure, and hazard assessment throughout the supply chain. These data are often generated using conventional microbiological approaches based either on shelf-life studies or specific spoilage organisms (SSOs), frequently overlooking crucial information such as antimicrobial resistance (AMR), biofilm formation, virulence factors and other physiological variations coupled with bio-chemical characteristics of food matrix. Additionally, the microbial risks in food are diverse and heterogenous, that might be an outcome of growth and activity of multiple microbial populations rather than a single species contamination. The uncertainty on the microbial source, time as well as point of entry into the food supply chain poses a constraint to the efficiency of preventive approaches and conventional MRA. In the last few decades, significant breakthroughs in molecular methods and continuously progressing bioinformatics tools have opened up a new horizon for risk analysis-based approaches in food safety. Real time polymerase chain reaction (qPCR) and kit-based assays provide better accuracy and precision with shorter processing time. Despite these improvements, the effect of complex food matrix on growth environment and recovery of pathogen is a persistent problem for risk assessors. The dairy industry is highly impacted by spoilage and pathogenic microorganisms. Therefore, this review discusses the evolution and recent advances in MRAmethodologies equipped with predictive interventions and "multi-omics" approach for robust MRA specifically targeting dairy products. It also highlights the limiting gap area and the opportunity for improvement in this field to ensure precision food safety.
随着包装食品和即食食品的消费不断增加,食源性疾病的风险急剧上升,因此对妥善管理的需求也非常迫切。传统的微生物风险评估 (MRA) 调查需要事先了解整个供应链中的工艺流程、暴露和危害评估。这些数据通常是使用传统的微生物学方法根据保质期研究或特定腐败生物体 (SSO) 生成的,常常忽略了关键信息,如抗生素耐药性 (AMR)、生物膜形成、毒力因子和其他与食品基质的生化特性相关的生理变化。此外,食品中的微生物风险多种多样且不均匀,这可能是多种微生物群体的生长和活性的结果,而不是单一物种的污染。微生物来源、进入食物链的时间和地点的不确定性对预防性方法和传统 MRA 的效率构成了限制。在过去几十年中,分子方法和不断发展的生物信息学工具方面取得了重大突破,为食品安全风险分析方法开辟了新的前景。实时聚合酶链反应 (qPCR) 和基于试剂盒的检测提供了更好的准确性和精度,处理时间更短。尽管有这些改进,但复杂食品基质对生长环境和病原体回收的影响仍然是风险评估人员面临的一个持续问题。乳制品行业受到腐败和病原微生物的严重影响。因此,本文讨论了配备预测性干预措施的 MRA 方法的演变和最新进展,以及针对乳制品的“多组学”方法,特别是针对乳制品的稳健 MRA。它还突出了该领域的限制差距区域和改进机会,以确保精准食品安全。