新鲜鳄梨干包装生产线上模拟单核增生李斯特菌交叉污染:食品安全的杂交方法

IF 2.9 3区 农林科学 Q3 ENGINEERING, CHEMICAL
Tonderai Madamba, Rosana G. Moreira, Alejandro Castillo, Zahra Mohebbi
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引用次数: 0

摘要

本研究解决了对基于模拟的工具的迫切需要,以评估食品包装设施中针对微生物交叉污染的纠正措施。提出了一种新型的基于食品安全剂的模拟(FS-ABS),该模拟将预测微生物学与离散事件模拟(DES)相结合,跟踪和预测单增李斯特菌在收获后哈斯鳄梨干加工线上的行为。该模型将DES的操作效率与基于agent的建模的生物真实性相结合,使人们能够全面了解单核增生乳杆菌在复杂加工环境中的传播方式。本研究的目的有三个:(1)跟踪和预测鳄梨干加工生产线上的微生物交叉污染;(2)整合微生物与供应链物流的相互作用;(3)通过提供可操作的见解来降低交叉污染风险,从而加强食品安全。由NetLogo开发的模拟将牛油果视为移动代理,在基于网格的设施中移动,每个代理都带有污染水平和转移概率等属性。这种方法模拟了物流流和微生物动力学,为污染如何传播以及干预措施如何控制污染提供了见解。实际数据验证表明,在低初始负荷(0.1-1.5 log CFU)下,交叉污染仍然有限,但在超过3.0 log CFU阈值时,交叉污染会急剧增加,这突出了控制措施失效的临界点。情景测试表明,增加采样频率和样本量可以改善污染检测并减少可变性。该模型强调了早期干预、频繁卫生和战略性取样在减轻污染风险方面的重要性。这种混合工具为提高牛油果包装设施的操作完整性和食品安全提供了强大的决策支持框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Simulating Listeria monocytogenes Cross-Contamination of Fresh Avocado in a Dry Pack Line: A Hybrid Approach to Food Safety

Simulating Listeria monocytogenes Cross-Contamination of Fresh Avocado in a Dry Pack Line: A Hybrid Approach to Food Safety

This study addresses the urgent need for simulation-based tools that evaluate corrective actions against microbial cross-contamination in food packing facilities. It presents a novel Food Safety Agent-Based Simulation (FS-ABS) that integrates predictive microbiology with discrete event simulation (DES) to track and predict Listeria monocytogenes behavior along a post-harvest Hass avocado dry processing line. The model combines the operational efficiency of DES with the biological realism of agent-based modeling, enabling a comprehensive understanding of how L. monocytogenes spreads in complex processing environments. The objectives of this study were threefold: (1) to track and predict microbial cross-contamination in the avocado dry processing line; (2) to integrate microbiological interactions with supply chain logistics; and (3) to enhance food safety by providing actionable insights for cross-contamination risk mitigation. Developed in NetLogo, the simulation treats avocados as mobile agents moving across a grid-based facility, each carrying attributes like contamination levels and transfer probabilities. This approach models both logistical flow and microbial dynamics, offering insights into how contamination propagates and how interventions might contain it. Validation with real-world data showed that cross-contamination remains limited at low initial loads (0.1–1.5 log CFU) but increases sharply beyond a 3.0 log CFU threshold—highlighting a tipping point where control measures become ineffective. Scenario testing revealed that increasing sampling frequency and sample size improves contamination detection and reduces variability. The model emphasizes the importance of early intervention, frequent sanitation, and strategic sampling in mitigating contamination risks. This hybrid tool provides a robust decision-support framework for improving operational integrity and food safety in avocado packing facilities.

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来源期刊
Journal of Food Process Engineering
Journal of Food Process Engineering 工程技术-工程:化工
CiteScore
5.70
自引率
10.00%
发文量
259
审稿时长
2 months
期刊介绍: This international research journal focuses on the engineering aspects of post-production handling, storage, processing, packaging, and distribution of food. Read by researchers, food and chemical engineers, and industry experts, this is the only international journal specifically devoted to the engineering aspects of food processing. Co-Editors M. Elena Castell-Perez and Rosana Moreira, both of Texas A&M University, welcome papers covering the best original research on applications of engineering principles and concepts to food and food processes.
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