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国内冰箱温度和家庭储存时间分布分析用于保质期研究和食品安全风险评估。

Analysis of domestic refrigerator temperatures and home storage time distributions for shelf-life studies and food safety risk assessment.

机构信息

Risk Analysis and Public Health Department, Istituto Zooprofilattico Sperimentale delle Venezie, Viale dell'Università 10, 35020 Legnaro (PD), Italy.

Laboratory of Food Microbiology and Food Preservation, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, B-9000 Ghent, Belgium.

出版信息

Food Res Int. 2017 Jun;96:171-181. doi: 10.1016/j.foodres.2017.02.017. Epub 2017 Mar 6.

Abstract

In the framework of food safety, when mimicking the consumer phase, the storage time and temperature used are mainly considered as single point estimates instead of probability distributions. This singlepoint approach does not take into account the variability within a population and could lead to an overestimation of the parameters. Therefore, the aim of this study was to analyse data on domestic refrigerator temperatures and storage times of chilled food in European countries in order to draw general rules which could be used either in shelf-life testing or risk assessment. In relation to domestic refrigerator temperatures, 15 studies provided pertinent data. Twelve studies presented normal distributions, according to the authors or from the data fitted into distributions. Analysis of temperature distributions revealed that the countries were separated into two groups: northern European countries and southern European countries. The overall variability of European domestic refrigerators is described by a normal distribution: N (7.0, 2.7)°C for southern countries, and, N (6.1, 2.8)°C for the northern countries. Concerning storage times, seven papers were pertinent. Analysis indicated that the storage time was likely to end in the first days or weeks (depending on the product use-by-date) after purchase. Data fitting showed the exponential distribution was the most appropriate distribution to describe the time that food spent at consumer's place. The storage time was described by an exponential distribution corresponding to the use-by date period divided by 4. In conclusion, knowing that collecting data is time and money consuming, in the absence of data, and at least for the European market and for refrigerated products, building a domestic refrigerator temperature distribution using a Normal law and a time-to-consumption distribution using an Exponential law would be appropriate.

摘要

在食品安全框架内,当模拟消费者阶段时,主要考虑存储时间和温度作为单点估计,而不是概率分布。这种单点方法没有考虑到人群内的可变性,可能导致参数高估。因此,本研究的目的是分析欧洲国家有关家用冰箱温度和冷藏食品储存时间的数据,以便得出可用于保质期测试或风险评估的一般规则。关于家用冰箱温度,有 15 项研究提供了相关数据。其中 12 项研究根据作者或拟合到分布的数据呈现正态分布。对温度分布的分析表明,这些国家可分为两组:北欧国家和南欧国家。欧洲家用冰箱的总体可变性用正态分布来描述:南部国家为 N(7.0, 2.7)°C,北部国家为 N(6.1, 2.8)°C。关于储存时间,有 7 篇论文是相关的。分析表明,储存时间很可能在购买后最初几天或几周内(取决于产品的最佳食用日期)结束。数据拟合表明,指数分布是描述食品在消费者手中存放时间的最合适分布。储存时间由与最佳食用日期期间除以 4 对应的指数分布来描述。总之,由于收集数据既费时又费钱,在没有数据的情况下,至少对于欧洲市场和冷藏产品而言,使用正态定律构建家用冰箱温度分布,使用指数定律构建消费时间分布是合适的。

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