Two-dimensional liquid chromatography (LC×LC) is a powerful tool for analyzing highly complex samples. Comprehensive two-dimensional liquid chromatography can be performed by online transfers of effluent from the first-dimension column to the second-dimension column. Ideally, both columns have orthogonal separation selectivity, thereby increasing the potential peak capacity to the product of the individual peak capacities [1]. In practice, the achievable separation in two dimensions is limited by the effective orthogonality. LC×LC data is typically complex, so routine analysis requires sophisticated software. This LC×LC software performs two-dimensional baseline correction by two-dimensional statistical modeling for accurate peak detection and quantification [2,3]. The most challenging task is nontarget, multisample analysis, which requires comparison of every constituent in every sample. In this presentation we demonstrate how the Agilent 2D-LC Solution can be used to analyze complex samples and how dedicated software is used to analyze the acquired data. The compound class of polyphenols, inherent in some fruit juices and red wine, is analyzed by comprehensive two-dimensional liquid chromatography and the obtained data are analyzed and compared by GC Image LC×LC Edition Software showing compound comparison between the samples.
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