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Increased efficacy for in-house validation of real-time PCR GMO detection methods

机译:内部验证实时PCR GMO检测方法的功效增强

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摘要

To improve the efficacy of the in-house validation of GMO detection methods (DNA isolation and real-time PCR, polymerase chain reaction), a study was performed to gain insight in the contribution of the different steps of the GMO detection method to the repeatability and in-house reproducibility. In the present study, 19 methods for (GM) soy, maize canola and potato were validated in-house of which 14 on the basis of an 8-day validation scheme using eight different samples and five on the basis of a more concise validation protocol. In this way, data was obtained with respect to the detection limit, accuracy and precision. Also, decision limits were calculated for declaring non-conformance (>0.9%) with 95% reliability. In order to estimate the contribution of the different steps in the GMO analysis to the total variation variance components were estimated using REML (residual maximum likelihood method). From these components, relative standard deviations for repeatability and reproducibility (RSDr and RSDR) were calculated. The results showed that not only the PCR reaction but also the factors ‘DNA isolation’ and ‘PCR day’ are important factors for the total variance and should therefore be included in the in-house validation. It is proposed to use a statistical model to estimate these factors from a large dataset of initial validations so that for similar GMO methods in the future, only the PCR step needs to be validated. The resulting data are discussed in the light of agreed European criteria for qualified GMO detection methods.Electronic supplementary materialThe online version of this article (doi:10.1007/s00216-009-3315-6) contains supplementary material, which is available to authorized users.
机译:为了提高内部验证转基因生物检测方法(DNA分离和实时PCR,聚合酶链反应)的功效,进行了一项研究以了解转基因生物检测方法不同步骤对重复性的贡献和内部可重复性。在本研究中,内部对(GM)大豆,玉米油菜和马铃薯的19种方法进行了内部验证,其中14种基于8天的验证方案(使用8种不同样品),而5种基于更简洁的验证方案。 。以这种方式,获得了关于检测极限,准确度和精确度的数据。此外,还计算了判定不合格(> 0.9%)和95%可靠性的决策极限。为了估计GMO分析中不同步骤对总变化方差的贡献,使用REML(残差最大似然法)进行了估计。从这些成分中,计算出重复性和再现性的相对标准偏差(RSDr和RSDR)。结果表明,不仅PCR反应而且因素“ DNA分离”和“ PCR天”也是总差异的重要因素,因此应包括在内部验证中。建议使用统计模型从大量初始验证数据集中估算这些因素,以便将来对于类似的GMO方法,仅需要验证PCR步骤。根据合格的GMO检测方法的公认欧洲标准讨论所得数据。电子补充材料本文的在线版本(doi:10.1007 / s00216-009-3315-6)包含补充材料,授权用户可以使用。

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