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行业生成数据的分析。第2部分:基于风险的抽样计划,用于生乳中黄曲霉毒素M₁污染的高效自控。

Analysis of industry-generated data. Part 2: Risk-based sampling plan for efficient self-control of aflatoxin M₁ contamination in raw milk.

作者信息

Farkas Zsuzsa, Trevisani Marcello, Horváth Zsuzsanna, Serraino Andrea, Szabó István J, Kerekes Kata, Szeitzné-Szabó Mária, Ambrus Arpád

机构信息

a Department for Food Safety Risk Assessment , National Food Chain Safety Office , Budapest , Hungary.

出版信息

Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2014;31(7):1257-73. doi: 10.1080/19440049.2014.925588.

Abstract

Aflatoxin M₁ (AFM1) contamination in 21,969 milk samples taken in Italy during 2005-08 and 2010 provided the basis for designing an early warning self-control plan. Additionally, 4148 AFM1 data points from the mycotoxin crisis (2003-04) represented the worst case. No parametric function provided a good fit for the skewed and scattered AFM1 concentrations. The acceptable reference values, reflecting the combined uncertainty of AFM1 measured in consignments consisting of milk from one to six farms, ranged from 40 to 16.7 ng kg(-1), respectively. Asymmetric control charts with these reference values, 40 and 50 ng kg(-1) warning and action limits are recommended to assess immediately the distribution of AFM1 concentration in incoming consignments. The moving window method, presented as a worked example including 5 days with five samples/day, enabled verification of compliance of production with the legal limit in 98% of the consignments at a 94% probability level. The sampling plan developed assumes consecutive analyses of samples taken from individual farms, which makes early detection of contamination possible and also immediate corrective actions if the AFM1 concentration in a consignment exceeds the reference value. In the latter case different control plans with increased sampling frequency should be applied depending on the level and frequency of contamination. As aflatoxin B₁ increases in feed at about the same time, therefore a coordinated sampling programme performed by the milk processing plants operating in a confined geographic area is more effective and economical then the individual ones. The applicability of the sample size calculation based on binomial theorem and the fast response rate resulting from the recommended sampling plan were verified by taking 1000-10,000 random samples with replacement from the experimental databases representing the normal, moderately and highly contaminated periods. The efficiency of the control plan could be substantially enhanced if the dairy farms used feed with a tolerable level of AFB1.

摘要

2005 - 2008年及2010年期间在意大利采集的21969份牛奶样本中的黄曲霉毒素M₁(AFM1)污染情况为设计早期预警自控计划提供了依据。此外,来自霉菌毒素危机(2003 - 2004年)的4148个AFM1数据点代表了最坏情况。没有参数函数能很好地拟合AFM1浓度的偏态和离散分布。反映由一至六个农场的牛奶组成的货物中所测AFM1综合不确定性的可接受参考值分别为40至16.7纳克/千克。建议使用这些参考值以及40和50纳克/千克的警告和行动限值的不对称控制图,以立即评估 incoming consignments 中AFM1浓度的分布情况。以一个工作示例呈现的移动窗口法,包括每天五个样本共五天,能够以94%的概率水平验证98%的货物生产是否符合法定限值。所制定的抽样计划假定对来自各个农场的样本进行连续分析,这使得能够早期检测到污染,并且如果一批货物中的AFM1浓度超过参考值,还能立即采取纠正措施。在后一种情况下,应根据污染水平和频率应用增加抽样频率的不同控制计划。由于黄曲霉毒素B₁大约在同一时间在饲料中增加,因此在一个有限地理区域内运营的牛奶加工厂执行的协调抽样计划比单个工厂的计划更有效且更经济。通过从代表正常、中度和高度污染时期的实验数据库中有放回地抽取1000 - 10000个随机样本,验证了基于二项式定理的样本量计算的适用性以及推荐抽样计划产生的快速响应率。如果奶牛场使用AFB1含量可耐受的饲料,控制计划的效率可大幅提高。

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