A simple tandem mass spectrometry method for structural identification of pentose oligosaccharides
文献信息
Shang-Ting Tsai, Hsu-Chen Hsu
Differentiation of stereoisomers that are only dissimilar in the orientation of chemical bonds in space by mass spectrometry remains challenging. Structural determination of carbohydrates by mass spectrometry is difficult, mainly due to the large number of stereoisomers in carbohydrates. Arabinose and xylose are pentose stereoisomers typically present in plant polysaccharides and exist in α- and β-anomeric configurations of furanose and pyranose forms. Conventional methods used to determine the structures of polysaccharides include hydrolysis of polysaccharides into oligosaccharides followed by identification of these oligosaccharides’ structures individually through nuclear magnetic resonance spectroscopy (NMR). Although the sensitivity of mass spectrometry is much higher than that of NMR, conventional mass spectrometry provides only limited useful information on oligosaccharide structure determination, only the linkage positions of glycosidic bonds. In this study, we demonstrated a mass spectrometry method for the identification of linkage positions, anomeric configurations, and monosaccharide stereoisomers of intact oligosaccharides consisting of arabinose and xylose. We separated arabinose and xylose monosaccharides into α-furanose, β-furanose, α-pyranose, and β-pyranose forms through high-performance liquid chromatography and obtained the corresponding collision-induced dissociation mass spectra. Using these monosaccharide spectra and a flow chart consisting of the proper CID sequences derived from the dissociation mechanisms of pentose, a simple multi-stage tandem mass spectrometry method for structural identification of intact oligosaccharides consisting of arabinose and xylose was developed. The new mass spectrometry method provides a simple method for determining the structure of polysaccharides consisting of arabinose and xylose. The flow chart can be used in computer coding for automation, an ultimate goal for oligosaccharide structure determination.
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