Laboratory of Foodomics, Institute of Food Science Research (CIAL-CSIC), Nicolás Cabrera 9, 28049 Madrid, Spain.
Laboratory of Food Chemistry, Dipartimento di Agraria (QuaSic.A.Tec.), Università Mediterranea di Reggio Calabria, Reggio Calabria, loc. Feo di Vito, 89122 Reggio Calabria, Italy.
Anal Chim Acta. 2017 Sep 8;985:202-212. doi: 10.1016/j.aca.2017.07.013. Epub 2017 Jul 12.
Comprehensive two-dimensional liquid chromatography (LC × LC) is ever gaining interest in food analysis, as often, food-related samples are too complex to be analyzed through one-dimensional approaches. The use of hydrophilic interaction chromatography (HILIC) combined with reversed phase (RP) separations has already been demonstrated as a very orthogonal combination, which allows attaining increased resolving power. However, this coupling encompasses different analytical challenges, mainly related to the important solvent strength mismatch between the two dimensions, besides those common to every LC × LC method. In the present contribution, different strategies are proposed and compared to further increase HILIC × RP method performance for the analysis of complex food samples, using licorice as a model sample. The influence of different parameters in non-focusing modulation methods based on sampling loops, as well as under focusing modulation, through the use of trapping columns in the interface and through active modulation procedures are studied in order to produce resolving power and sensitivity gains. Although the use of a dilution strategy using sampling loops as well as the highest possible first dimension sampling rate allowed significant improvements on resolution, focusing modulation produced significant gains also in peak capacity and sensitivity. Overall, the obtained results demonstrate the great applicability and potential that active modulation may have for the analysis of complex food samples, such as licorice, by HILIC × RP.
二维液相色谱(LC×LC)在食品分析中越来越受到关注,因为通常情况下,与食品相关的样品过于复杂,无法通过一维方法进行分析。亲水作用色谱(HILIC)与反相(RP)分离的结合已经被证明是一种非常正交的组合,可以提高分辨率。然而,这种组合包含了不同的分析挑战,主要与两个维度之间重要的溶剂强度不匹配有关,此外还有与每一种 LC×LC 方法都共有的挑战。在本研究中,为了进一步提高复杂食品样品分析中 HILIC×RP 方法的性能,使用甘草作为模型样品,提出并比较了不同的策略。研究了不同参数在基于采样环的非聚焦调制方法以及通过在接口中使用捕集柱和通过主动调制程序进行聚焦调制中的影响,以提高分辨率、峰容量和灵敏度。尽管使用采样环的稀释策略以及尽可能高的第一维采样率可以显著提高分辨率,但聚焦调制在峰容量和灵敏度方面也有显著的提高。总的来说,所得结果表明,主动调制在分析甘草等复杂食品样品时具有很大的适用性和潜力。