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Pathogen growth when implementing 'Time as a Public Health Control'

机译:在实施“作为公共卫生控制”时的病原体增长

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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.
机译:食品监管机构允许使用时间作为公共卫生控制(TPHC),以处理可能支持致病细菌的生长的食物。考虑到TPHC在食品服务运营中的广泛使用,很少有报道数量地描述当这些协议实施时潜在的病原体增长。一种最坏情况的生长速率模型是由Compase肉汤的六种病原体模型预测的最高增长率构建。从Compase数据库记录中的生长速率构建了一个单独的最坏情况的生长模型。假设没有滞后阶段,4小时的最大估计病原体生长在5℃至6.16时在44°C下的0.006 log Cfu,在25°C下用3.1对数CFU进行。此外,在实施TPHC时,病原体增长可能超过用于食物挑战测试的1和3对数限制。在TPHC标准开发中使用预测模型可以提供更多的故障安全策略,用于管理潜在危险的食物中的微生物危害。该策略还可以减少食物垃圾,促进在食品供应链中使用温度传感器。

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