Schindler Baptiste, Laloy-Borgna Gabrielle, Barnes Loïc, Allouche Abdul-Rahman, Bouju Elodie, Dugas Vincent, Demesmay Claire, Compagnon Isabelle
Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Institut Lumière Matière, F-69622 Villeurbanne , France.
Univ Lyon, CNRS, Université Claude Bernard Lyon 1, Ens de Lyon, Institut des Sciences Analytiques, UMR 5280, 5 Rue de la Doua , F-69100 Villeurbanne , France.
Anal Chem. 2018 Oct 16;90(20):11741-11745. doi: 10.1021/acs.analchem.8b02801. Epub 2018 Sep 14.
The vast array of molecular isomerisms which form the complex molecular structure of carbohydrates is the foundation of their biological versatility but defies the analytical chemist. Hyphenations of mass spectrometry with orthogonal structural characterization, such as ion mobility or ion spectroscopy, have recently shown great promise for distinction between closely related molecular structures. Yet, the lack of analytical strategies for identification of isomers present in mixtures remains a major obstacle to routine carbohydrate sequencing. In this context, an ideal workflow for glycomics would combine isomer separation and individual characterization of the molecular structure with atomistic resolution. Here we report the implementation of such a multidimensional analytical strategy, which consists of the first online coupling of high-performance liquid chromatography (HPLC)-MS and infrared multiple photon dissociation (IRMPD) spectroscopy. The performance of this novel workflow is exemplified in the case of monosaccharides (anomers) and disaccharides (regioisomers) standards. We report that the LC-MS-IRMPD approach offers a robust advanced MS diagnostic of mixtures of isomers, including carbohydrate anomers, which is critical for carbohydrate sequencing. Our results also explain the bimodal character generally observed in LC chromatograms of carbohydrates. More generally, this multidimensional analytical strategy opens the gateway to rapid identification of molecular isoforms with potential application in the "omics" fields.
构成碳水化合物复杂分子结构的大量分子异构现象是其生物学多功能性的基础,但却给分析化学家带来了挑战。质谱与正交结构表征技术(如离子淌度或离子光谱)的联用,最近在区分密切相关的分子结构方面显示出巨大潜力。然而,缺乏用于鉴定混合物中异构体的分析策略仍然是常规碳水化合物测序的主要障碍。在这种背景下,糖组学的理想工作流程应将异构体分离与分子结构的逐个表征相结合,并达到原子级分辨率。在此,我们报告了这样一种多维分析策略的实施情况,该策略包括高效液相色谱(HPLC)-质谱和红外多光子解离(IRMPD)光谱的首次在线联用。这种新颖工作流程的性能在单糖(异头物)和二糖(区域异构体)标准品的案例中得到了体现。我们报告称,LC-MS-IRMPD方法为异构体混合物(包括碳水化合物异头物)提供了强大的先进质谱诊断,这对碳水化合物测序至关重要。我们的结果还解释了碳水化合物LC色谱图中普遍观察到的双峰特征。更普遍地说,这种多维分析策略为快速鉴定分子异构体打开了大门,有望在“组学”领域得到应用。