Navarro-Reig Meritxell, Ortiz-Villanueva Elena, Tauler Romà, Jaumot Joaquim
Department of Environmental Chemistry, IDAEA-CSIC, Jordi Girona 18-26, 08034 Barcelona, Spain.
Metabolites. 2017 Oct 24;7(4):54. doi: 10.3390/metabo7040054.
Metabolomics is a powerful and widely used approach that aims to screen endogenous small molecules (metabolites) of different families present in biological samples. The large variety of compounds to be determined and their wide diversity of physical and chemical properties have promoted the development of different types of hydrophilic interaction liquid chromatography (HILIC) stationary phases. However, the selection of the most suitable HILIC stationary phase is not straightforward. In this work, four different HILIC stationary phases have been compared to evaluate their potential application for the analysis of a complex mixture of metabolites, a situation similar to that found in non-targeted metabolomics studies. The obtained chromatographic data were analyzed by different chemometric methods to explore the behavior of the considered stationary phases. ANOVA-simultaneous component analysis (ASCA), principal component analysis (PCA) and partial least squares regression (PLS) were used to explore the experimental factors affecting the stationary phase performance, the main similarities and differences among chromatographic conditions used (stationary phase and pH) and the molecular descriptors most useful to understand the behavior of each stationary phase.
代谢组学是一种强大且广泛应用的方法,旨在筛选生物样品中存在的不同家族的内源性小分子(代谢物)。待测定的化合物种类繁多,其物理和化学性质差异很大,这推动了不同类型亲水作用液相色谱(HILIC)固定相的发展。然而,选择最合适的HILIC固定相并非易事。在这项工作中,比较了四种不同的HILIC固定相,以评估它们在分析复杂代谢物混合物方面的潜在应用,这种情况类似于非靶向代谢组学研究中的情况。通过不同的化学计量学方法对获得的色谱数据进行分析,以探究所考虑固定相的行为。使用方差分析-同步成分分析(ASCA)、主成分分析(PCA)和偏最小二乘回归(PLS)来探究影响固定相性能的实验因素、所用色谱条件(固定相和pH)之间的主要异同点以及对理解每个固定相行为最有用的分子描述符。