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Inter-laboratory reproducibility of fast gas chromatography-electron impact-time of flight mass spectrometry (GC-EI-TOF/MS) based plant metabolomics

机译:基于植物代谢组学的快速气相色谱 - 电子轰击 - 飞行时间质谱(GC-EI-TOF / ms)的实验室间重现性

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摘要

The application of gas chromatography-mass spectrometry (GC-MS) to the 'global' analysis of metabolites in complex samples (i.e. metabolomics) has now become routine. The generation of these data-rich profiles demands new strategies in data mining and standardisation of experimental and reporting aspects across laboratories. As part of the META-PHOR project's (METAbolomics for Plants Health and OutReach: http://www.meta-phor.eu/) priorities towards robust technology development, a GC-MS ring experiment based upon three complex matrices (melon, broccoli and rice) was launched. All sample preparation, data processing, multivariate analyses and comparisons of major metabolite features followed standardised protocols, identical models of GC (Agilent 6890N) and TOF/MS (Leco Pegasus III) were also employed. In addition comprehensive GC×GC-TOF/MS was compared with 1 dimensional GC-TOF/MS. Comparisons of the paired data from the various laboratories were made with a single data processing and analysis method providing an unbiased assessment of analytical method variants and inter-laboratory reproducibility. A range of processing and statistical methods were also assessed with a single exemplary dataset revealing near equal performance between them. Further investigations of long-term reproducibility are required, though the future generation of global and valid metabolomics databases offers much promise. © Springer Science+Business Media, LLC 2009.
机译:如今,将气相色谱-质谱(GC-MS)应用于复杂样品(即代谢组学)中代谢物的``全局''分析已成为常规。这些数据丰富的配置文件的生成需要跨实验室的数据挖掘以及实验和报告方面的标准化的新策略。作为META-PHOR项目(针对植物健康和超越代谢的代谢组学:http://www.meta-phor.eu/)优先考虑的一部分,以稳健的技术开发为基础,该GC-MS环状实验基于三种复杂基质(甜瓜,西兰花,和米饭)。所有样品制备,数据处理,主要代谢物特征的多变量分析和比较均遵循标准化方案,还使用了相同型号的GC(Agilent 6890N)和TOF / MS(Leco Pegasus III)。另外,将综合的GC×GC-TOF / MS与一维GC-TOF / MS进行了比较。使用单个数据处理和分析方法对来自不同实验室的配对数据进行了比较,从而提供了对分析方法变体和实验室间可重复性的公正评估。还使用单个示例性数据集评估了一系列处理和统计方法,揭示了它们之间几乎相等的性能。尽管未来一代的全球有效代谢组学数据库提供了很大的希望,但仍需要进一步研究长期可重复性。 ©Springer Science + Business Media,LLC 2009。

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