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LC-MS based global metabolite profiling of grapes: solvent extraction protocol optimisation

机译:基于LC-MS的葡萄全球代谢物分析:溶剂提取方案优化

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摘要

Optimal solvent conditions for grape sample preparation were investigated for the purpose of metabolite profiling studies, with the aim of obtaining as many features as possible with the best analytical repeatability. Mixtures of water, methanol and chloroform in different combinations were studied as solvents for the extraction of ground grapes. The experimental design used a two stage study to find the optimum extraction medium. The extracts obtained were further purified using solid phase extraction and analysed using a UPLC full scan TOF MS with both reversed phase and hydrophilic interaction chromatography. The data obtained were processed using data extraction algorithms and advanced statistical software for data mining. The results obtained indicated that a fairly broad optimal area for solvent composition could be identified, containing approximately equal amounts of methanol and chloroform and up to 20% water. Since the water content of the samples was variable, the robustness of the optimal conditions suggests these are appropriate for large scale profiling studies for characterisation of the grape metabolome.
机译:为了研究代谢物谱,研究了用于葡萄样品制备的最佳溶剂条件,目的是获得具有最佳分析重复性的尽可能多的特征。对水,甲醇和氯仿的不同组合混合物进行了研究,以作为提取葡萄末的溶剂。实验设计使用了两阶段研究来找到最佳的提取介质。使用固相萃取进一步纯化获得的萃取物,并使用UPLC全扫描TOF MS进行反相和亲水相互作用色谱分析。使用数据提取算法和高级统计软件对获得的数据进行处理以进行数据挖掘。获得的结果表明,可以确定溶剂组合物的相当宽的最佳区域,其中包含大约等量的甲醇和氯仿以及最多20%的水。由于样品中的水分含量是可变的,因此最佳条件的鲁棒性表明,这些方法适合用于表征葡萄代谢组的大规模分析研究。

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