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首页> 外文期刊>Journal of Microbiological Methods >Recombinant plasmid-based quantitative Real-Time PCR analysis of Salmonella enterica serotypes and its application to milk samples
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Recombinant plasmid-based quantitative Real-Time PCR analysis of Salmonella enterica serotypes and its application to milk samples

机译:基于重组质粒的沙门氏菌血清型实时定量PCR分析及其在牛奶样品中的应用

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The aim of the current study was to develop, a new, rapid, sensitive and quantitative Salmonella detection method using a Real-Time PCR technique based on an inexpensive, easy to produce, convenient and standardized recombinant plasmid positive control. To achieve this, two recombinant plasmids were constructed as reference molecules by cloning the two most commonly used Salmonella-specific target gene regions, invA and ttrRSBC The more rapid detection enabled by the developed method (21 h) compared to the traditional culture method (90 h) allows the quantitative evaluation of Salmonella (quantification limits of 10(1) CFU/ml and 10(0) CFU/ml for the invA target and the ttrRSBC target, respectively), as illustrated using milk samples. Three advantages illustrated by the current study demonstrate the potential of the newly developed method to be used in routine analyses in the medical, veterinary, food and water/environmental sectors: I - The method provides fast analyses including the simultaneous detection and determination of correct pathogen counts; II - The method is applicable to challenging samples, such as milk; III - The method's positive controls (recombinant plasmids) are reproducible in large quantities without the need to construct new calibration curves. (C) 2016 Elsevier B.V. All rights reserved.
机译:本研究的目的是开发一种新的,快速,灵敏和定量的沙门氏菌检测方法,该方法使用实时PCR技术,该方法基于廉价,易于生产,方便和标准化的重组质粒阳性对照。为此,通过克隆两个最常用的沙门氏菌特异性靶基因区域invA和ttrRSBC,构建了两个重组质粒作为参考分子。与传统的培养方法(90)相比,开发的方法(21 h)能够实现更快的检测h)可以定量评估沙门氏菌(对于invA靶标和ttrRSBC靶标的定量极限分别为10(1)CFU / ml和10(0)CFU / ml),如使用牛奶样品所示。本研究显示的三个优点表明,新开发的方法可用于医学,兽医,食品和水/环境部门的常规分析:I-该方法可提供快速分析,包括同时检测和确定正确的病原体计数II-该方法适用于具有挑战性的样品,例如牛奶; III-该方法的阳性对照(重组质粒)可大量复制,而无需构建新的校准曲线。 (C)2016 Elsevier B.V.保留所有权利。

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