Detection probability models for bacteria, and how to obtain them from heterogeneous spiking data. An application to Bacillus anthracis

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• 作者：Ronny Hedell^a ; ^b ; ^{ronny.hedell@polisen.se} ; Olga Stephansson^c ; ^{olga.stephansson@sva.se} ; Petter Mostad^b ; ^{mostad@chalmers.se} ; Mats Gunnar Andersson^c ; ^{gunnar.andersson@sva.se}
• 关键词：Sample analysis ; Pre-enrichment ; qPCR ; Sensitivity ; Bayesian modelling
• 刊名：International Journal of Food Microbiology
• 出版年：2017
• 出版时间：16 January 2017
• 年：2017
• 卷：241
• 期：Complete
• 页码：78-88
• 全文大小：624 K
• 卷排序：241

文摘

Detection curves for bacterial detection are derived using Bayesian modelling. We show how to merge and use results from heterogeneous spiking experiments. Differences between B. anthracis and B. cereus and several food matrices were found. The interaction between matrix and bacteria type was non-ignorable.