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An inter-laboratory comparison demonstrates that 1H-NMR metabolite fingerprinting is a robust technique for collaborative plant metabolomic data collection

机译:实验室间的比较表明1H -NMR代谢物指纹图谱是用于协作植物代谢组学数据收集的可靠技术

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摘要

In any metabolomics experiment, robustness and reproducibility of data collection is of vital importance. These become more important in collaborative studies where data is to be collected on multiple instruments. With minimisation of variance in sample preparation and instrument performance it is possible to elucidate even subtle differences in metabolite fingerprints due to genotype or biological treatment. In this paper we report on an inter laboratory comparison of plant derived samples by [1H]-NMR spectroscopy across five different sites and within those sites utilising instruments with different probes and magnetic field strengths of 9.4 T (400 MHz), 11.7 T (500 MHz) and 14.1 T (600 MHz). Whilst the focus of the study is on consistent data collection across laboratories, aspects of sample stability and the requirement for sample rotation within the NMR magnet are also discussed. Comparability of the datasets from participating laboratories was exceptionally good and the data were amenable to comparative analysis by multivariate statistics. Field strength differences can be adjusted for in the data pre-processing and multivariate analysis demonstrating that [1H]-NMR fingerprinting is the ideal technique for large scale plant metabolomics data collection requiring the participation of multiple laboratories.
机译:在任何代谢组学实验中,数据收集的鲁棒性和可重复性至关重要。在要通过多种手段收集数据的协作研究中,这些变得更加重要。通过最小化样品制备和仪器性能的差异,有可能阐明由于基因型或生物处理而造成的代谢物指纹的细微差异。在本文中,我们报告了通过[ 1 H] -NMR光谱在五个不同位置上以及在这些位置内使用具有不同探针和9.4 T(磁场强度( 400 MHz),11.7 T(500 MHz)和14.1 T(600 MHz)。虽然研究的重点是跨实验室的一致数据收集,但还讨论了样品稳定性和NMR磁体内样品旋转的要求。来自参与实验室的数据集的可比性非常好,并且数据可以通过多元统计进行比较分析。场强差异可在数据预处理和多元分析中进行调整,证明[ 1 H] -NMR指纹图谱是需要多个实验室参与的大规模植物代谢组学数据收集的理想技术。

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