在零售店储存期间,对新鲜家禽片进行量化微生物破坏风险评估 (QMSRA)
Sofia Tsaloumi1, Leonardos Stathas1, Konstantinos Koutsoumanis1
1Laboratory of Food Microbiology and Hygiene, Department of Food Science & Technology, Faculty of Agriculture, Aristotle University, 54124 Thessaloniki, Greece.
Food research international (Ottawa, Ont.)
|June 14, 2023
概括
一个新的模型基于细菌生长预测新鲜家禽的腐烂. 降低初始细菌或储存温度显著减少腐烂,帮助工业界确定准确的到期日期.
科学领域:
- 食品微生物学 食品微生物学
- 定量风险评估 定量风险评估
- 食品科学 食品科学 食品科学
背景情况:
- 微生物破坏限制了新鲜家禽的保质期.
- 伪虫是家禽中坏的关键指标.
- 准确的保质期预测对于食品安全和减少废物至关重要.
研究的目的:
- 为新鲜家禽开发一个定量微生物破坏风险评估 (QMSRA) 模型.
- 假月子度与由于损坏而引起的感官排斥相关联.
- 提供一个工具来优化家禽的到期日期和质量管理.
主要方法:
- 同时对家禽片进行微生物学和感官分析.
- 使用β-Poisson模型开发了一种破坏-反应关系.
- 集成的伪月子增长建模与随机和蒙特卡洛模拟用于可变性和不确定性分析.
主要成果:
- 在6.08 log CFU/cm2以下没有观察到感官排斥.
- 该QMSRA模型预测了各种零售储存时间的中位数损坏单位 (例如,10天后1389个损坏单位).
- 减少最初的伪月1日志或储存温度1°C,损坏率降低了高达90%.
结论:
- 该QMSRA模型为家禽的保质期管理提供了科学基础.
- 干预措施,如减少初始污染和降低温度,可以显著降低腐烂风险.
- 该模型支持用于家禽行业的保质期延长策略的成本效益分析.
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