University of Tasmania, Private Bag 98, Sandy Bay, Tasmania, 7005, Australia.
Food Microbiol. 2021 Jun;96:103718. doi: 10.1016/j.fm.2020.103718. Epub 2020 Dec 21.
Food regulatory authorities permit the use of Time as Public Health Control (TPHC) for handling foods that potentially support the growth of pathogenic bacteria. Considering the widespread use of TPHC in food service operations, few reports quantitatively describe potential pathogen growth when these protocols are implemented. A worst-case growth rate model was built from the highest growth rates predicted by ComBase broth-based models for six pathogens. A separate worst-case growth model was constructed from growth rates in ComBase database records. The maximum estimated pathogen growth in 4 h, assuming no lag phase, ranged from 0.006 log CFU at 5 °C to 6.16 log CFU at 44 °C, with 3.1 log CFU at 25 °C. In addition, pathogen growth when implementing TPHC could exceed the 1- and 3-log limits recommended for food challenge tests. The use of predictive models in development of TPHC criteria may provide more fail-safe strategies for managing microbial hazards in potentially hazardous food. This strategy could also reduce food waste and promote the use of temperature sensors in food supply chains.
食品监管机构允许将时间作为公共卫生控制(TPHC)用于处理可能支持致病菌生长的食品。考虑到 TPHC 在食品服务运营中的广泛应用,很少有报告定量描述这些协议实施时潜在病原体的生长情况。从 ComBase 基于肉汤的模型预测的最高生长率为六种病原体建立了最坏情况生长率模型。从 ComBase 数据库记录中的生长率构建了另一个最坏情况生长模型。假设没有滞后期,在 4 小时内估计的最大病原体生长范围从 5°C 时的 0.006 log CFU 到 44°C 时的 6.16 log CFU,在 25°C 时为 3.1 log CFU。此外,当实施 TPHC 时,病原体的生长可能超过食品挑战测试推荐的 1 和 3 对数限值。在 TPHC 标准的制定中使用预测模型可能为管理潜在危险食品中的微生物危害提供更安全的策略。该策略还可以减少食物浪费,并促进在食品供应链中使用温度传感器。