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Validation of parameters in HACCP verification using univariate andmultivariate statistics. Application to the final phases of poultry meatproduction

机译:使用单变量和多变量统计信息验证HACCP验证中的参数。应用于家禽肉生产的最后阶段

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摘要

For Hazard Analysis and Critical Control Points (HACCP) systems verification in food industries, the selection of parameters that offer significant information about control system at each production stages is necessary. Total Count (TC), Pseudomonas (PS), Enterobacteriaceae (EB) and Staphylococcus aureus (ST) are organisms frequently measured on carcasses at slaughters. Their inclusion in HACCP system can he assessed by means of statistical techniques. Univariate and multivariate statistical methods are of great importance in order to identify most useful variables. In this study the use of these microbiological parameters in verification of refrigeration, and cutup and packaging operations has been evaluated. It has established the usefulness of these variables using statistical techniques. It makes clear the most discriminant effect of EB and TC to establish differences between the stages studied in this process.
机译:对于食品行业中的危害分析和关键控制点(HACCP)系统验证,必须选择能在每个生产阶段提供有关控制系统重要信息的参数。总计数(TC),假单胞菌(PS),肠杆菌科(EB)和金黄色葡萄球菌(ST)是屠宰时在尸体上经常测量的生物。可以通过统计技术评估将它们纳入HACCP系统。为了确定最有用的变量,单变量和多变量统计方法非常重要。在这项研究中,已经评估了这些微生物学参数在制冷验证以及切碎和包装操作中的应用。它已经使用统计技术确定了这些变量的有用性。很明显,EB和TC的最大区别作用在于确定此过程中研究阶段之间的差异。

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