首页> 外文会议>Πανελληνιο Συνεδριο ΤροΦιμων >ESTIMATING THE PREVALENCE AND THE SENSITIVITY OF THREE MICROBIOLOGICAL SUBSTRATES IN A CULTURE-DEPENDENT DETECTION METHOD FOR LISTERIA MONOCYTOGENES USING A BAYESIAN MODELING APPROACH: APPLICATION TO A MINCED PORK MEAT SURVEY
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ESTIMATING THE PREVALENCE AND THE SENSITIVITY OF THREE MICROBIOLOGICAL SUBSTRATES IN A CULTURE-DEPENDENT DETECTION METHOD FOR LISTERIA MONOCYTOGENES USING A BAYESIAN MODELING APPROACH: APPLICATION TO A MINCED PORK MEAT SURVEY

机译:利用贝叶斯建模方法估算三种微生物底物中三种微生物底物的患病率和敏感性:用贝叶斯造型方法:应用于碎猪肉调查

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The aim of this study was to estimate the prevalence and the population level (CFU/g) of Listeria monocytogenes in minced pork meat, as well as the sensitivity of three different culture media used for the detection of the foodborne pathogen by the application of a Bayesian modeling approach. Samples (n=100) purchased from local markets were tested for L. monocytogenes presence by plating in parallel onto three diagnostic media most commonly used in routine analysis: PALCAM, ALOA and RAPID'L.mono. Species confirmation was double-checked by performing biochemical tests and specific polymerase chain reaction. Twenty two (22) samples were identified as positive to L monocytogenes, so prevalence was 22%. Sensitivity was calculated at 72.7%, 68.2% and 77.3% for PALCAM, ALOA and RAPID'L.mono, respectively. Based on the results obtained by plating onto the culture media two Bayesian models were set-up for prevalence and sensitivity estimations using the WinBUGS vl.4 software, whereas another model for estimating pathogen level was set-up in the Excel and simulated with the @Risk v4.5 for Excel software to construct the posterior distribution. The first model for prevalence estimation utilized the data from the parallel use of all three substrates tested, while the second was developed by combining the data of the two chromogenic media ALOA and RAPID'L.mono. These models predicted satisfactorily the prevalence of the pathogen and the sensitivity of the culture methods (error<20%), therefore the second model was chosen due to its fewer parameters. An independent experiment was conducted to validate the developed model by analyzing extra samples (n=10). The Bayesian model estimated the prevalence of L. monocytogenes at 22.7% (95% confidence interval: 11.1%-36.5%) and the sensitivity of ALOA and RAPID'L.mono for the culture-dependent detection method at 65.8% (48.5%-82.2%) and 74.4% (58.1%-88.7%), respectively. The population of L monocytogenes in mince was estimated at 14 CFU/kg (8-23 CFU/kg) and 17 CFU/kg (11-26 CFU/kg) for ALOA and RAPID'L.mono, respectively. Validation results from the developed model showed good correlation between observed and predicted prevalence (error=-2.17%). The use of at least two culture media in parallel enhances the efficiency for L. monocytogenes detection.
机译:本研究的目的是评估的流行和群体水平(CFU / g)的碎猪肉李斯特菌,以及三种不同的培养介质的一个的应用程序用于检测食源性病原体的敏感性贝叶斯建模方法。从当地市场购买的样品(n = 100),用于单增李斯特菌在并行存在通过镀敷进行测试到在常规分析最常用的三个诊断媒体:PALCAM,ALOA和RAPID'L.mono。通过进行生化试验和特异性聚合酶链反应物种确认被双重检查。二十二(22)样品鉴定为阳性到L菌,所以患病率为22%。灵敏度在72.7%分别计算,68.2%和77.3%对PALCAM,ALOA和RAPID'L.mono。基于由镀到培养基2个贝叶斯模型建立使用WinBUGS软件vl.4软件患病率和灵敏度估计得到的,而另一个模型的结果用于估计病原体水平建立在Excel和与所述模拟@为Excel软件V4.5风险,构建后验分布。对于流行估计第一模型利用从并行使用所有三种测试的基片的数据,而第二个是由两个生色媒体ALOA和RAPID'L.mono的数据结合开发的。这些模型预测令人满意病原体的流行和的培养方法(误差<20%)的灵敏度,因此,第二模型被选择,因为它较少的参数。一个独立的实验是通过分析额外样品(n = 10),以验证开发的模型。贝叶斯模型估计单增李斯特菌的患病率在22.7%(95%置信区间:11.1%-36.5%)和ALOA和RAPID'L.mono用于培养依赖性检测方法中的65.8%(48.5%的灵敏度 - 82.2%)和74.4%(分别为58.1%-88.7%)。大号的单核细胞中剁碎人口(8-23 CFU / kg)和17 CFU /公斤(11-26 CFU /千克)为ALOA和RAPID'L.mono,分别估计为14 CFU /公斤。从发达模型验证结果表明观察到的和预测的患病率(误差= -2.17%)之间良好的相关性。并联使用至少两个培养基增强了单增李斯特菌的检测效率。

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