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Consumer-Phase Salmonella enterica serovar Enteritidis Risk Assessment for Egg-Containing Food Products

机译:含蛋食品消费阶段肠炎沙门氏菌肠炎风险评估

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摘要

We describe a one-dimensional probabilistic model of the role of domestic food handling behaviors on salmonellosis risk associated with the consumption of eggs and egg-containing foods. Six categories of egg-containing foods were defined based on the amount of egg contained in the food, whether eggs are pooled, and the degree of cooking practiced by consumers. We used bootstrap simulation to quantify uncertainty in risk estimates due to sampling error, and sensitivity analysis to identify key sources of variability and uncertainty in the model. Because of typical model characteristics such as nonlinearity, interaction between inputs, thresholds, and saturation points, Sobol's method, a novel sensitivity analysis approach, was used to identify key sources of variability. Based on the mean probability of illness, examples of foods from the food categories ranked from most to least risk of illness were: (1) home-made salad dressings/ice cream; (2) fried eggs/boiled eggs; (3) omelettes; and (4) baked foods/breads. For food categories that may include uncooked eggs (e.g., home-made salad dressings/ice cream), consumer handling conditions such as storage time and temperature after food preparation were the key sources of variability. In contrast, for food categories associated with under-cooked eggs (e.g., fried/soft-boiled eggs), the initial level of Salmonella contamination and the log_(10) reduction due to cooking were the key sources of variability. Important sources of uncertainty varied with both the risk percentile and the food category under consideration. This work adds to previous risk assessments focused on egg production and storage practices, and provides a science-based approach to inform consumer risk communications regarding safe egg handling practices.
机译:我们描述了一维概率模型的家庭食品处理行为在与鸡蛋和含蛋食品消费相关的沙门氏菌病风险中的作用。根据食品中所含鸡蛋的数量,是否收集鸡蛋以及消费者的烹饪程度,将其分为六类。我们使用自举模拟来量化由于抽样误差导致的风险估计中的不确定性,并使用敏感性分析来确定模型中变异性和不确定性的关键来源。由于典型的模型特征,例如非线性,输入,阈值和饱和点之间的相互作用,因此使用Sobol方法(一种新颖的灵敏度分析方法)来识别关键的可变性来源。根据平均生病的可能性,从患病风险最高到风险最低的食品类别中选择食物的示例包括:(1)自制沙拉酱/冰淇淋; (2)煎鸡蛋/煮鸡蛋; (3)煎蛋; (4)烘焙食品/面包。对于可能包括未煮鸡蛋的食物类别(例如,自制的沙拉酱/冰淇淋),消费者的处理条件(例如食物制备后的储存时间和温度)是变化的主要来源。相反,对于与未煮熟的鸡蛋(例如,油炸/软煮鸡蛋)相关的食品类别,沙门氏菌的初始污染水平和由于烹饪而导致的log_(10)降低是导致变异的主要来源。不确定性的重要来源因风险百分率和所考虑的食品类别而异。这项工作增加了以前针对鸡蛋生产和储存实践的风险评估,并提供了一种基于科学的方法来告知消费者有关安全鸡蛋处理实践的风险交流。

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