Altekruse Sean F, Berrang Mark E, Marks Harry, Patel Bharat, Shaw William K, Saini Parmesh, Bennett Patricia A, Bailey J Stan
USDA, Food Safety and Inspection Service, Washington, DC 20250, USA.
Appl Environ Microbiol. 2009 Jun;75(11):3522-7. doi: 10.1128/AEM.02685-08. Epub 2009 Apr 10.
To evaluate whether the number of Escherichia coli bacteria in carcass rinses from chicken slaughter establishments could be monitored for the purpose of microbial process control, we drew a random sample from 20 of 127 large USDA-inspected operations. In 2005, every 3 months, two sets of 10 carcass rinses, 100 ml each, were collected from establishments, netting 80 sample sets from the rehang and postchill stages. E. coli and Campylobacter numbers and Salmonella prevalence were measured. Mixed-effect models were used to estimate variance of mean log(10) E. coli cell numbers of 10-carcass rinse sample sets. Relationships between E. coli and Campylobacter and Salmonella were examined. For 10-carcass rinse sets, at both the rehang and postchill stages the mean log(10) E. coli CFU/ml fit the logistic distribution better than the normal distribution. The rehang overall mean log(10) E. coli was 3.3 CFU/ml, with a within-sample set standard deviation of 0.6 CFU/ml. The overall postchill mean log(10) E. coli was 0.8 CFU/ml, with 13 establishments having mean log(10) E. coli CFU/ml values of less than 1.0 and 7 having mean values of 1.2 or more. At the midpoint separating these establishments, a mean log(10) E. coli CFU/ml of 1.1, the within-sample set standard deviation was 0.5 CFU/ml, with smaller standard deviations as means increased. Postchill sample sets with mean log(10) E. coli counts less than or equal to 1.1 CFU/ml had lower overall prevalence of Salmonella and mean log(10) Campylobacter CFU/ml than sample sets with higher means. These findings regarding reductions in E. coli numbers provide insight relevant to microbial process control.
为了评估是否可以通过监测鸡肉屠宰场胴体冲洗液中的大肠杆菌数量来进行微生物过程控制,我们从美国农业部检查的127家大型企业中的20家随机抽取了样本。2005年,每3个月从企业收集两组10份胴体冲洗液,每组100毫升,从重新悬挂和冷却后阶段共获得80个样本组。对大肠杆菌、弯曲杆菌数量和沙门氏菌流行率进行了测量。使用混合效应模型估计10份胴体冲洗液样本组中平均log(10)大肠杆菌细胞数的方差。研究了大肠杆菌与弯曲杆菌和沙门氏菌之间的关系。对于10份胴体冲洗液样本组,在重新悬挂和冷却后阶段,平均log(10)大肠杆菌CFU/毫升符合逻辑分布,比正态分布更好。重新悬挂阶段的总体平均log(10)大肠杆菌为3.3 CFU/毫升,样本组内标准差为0.6 CFU/毫升。冷却后阶段的总体平均log(10)大肠杆菌为0.8 CFU/毫升,13家企业的平均log(10)大肠杆菌CFU/毫升值小于1.0,7家企业的平均值为1.2或更高。在这些企业的中间点,平均log(10)大肠杆菌CFU/毫升为1.1,样本组内标准差为0.5 CFU/毫升,随着平均值的增加标准差变小。冷却后平均log(10)大肠杆菌计数小于或等于1.1 CFU/毫升的样本组,沙门氏菌的总体流行率和平均log(10)弯曲杆菌CFU/毫升低于平均值较高的样本组。这些关于大肠杆菌数量减少的发现为微生物过程控制提供了相关见解。