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Quantum dots assisted laser desorption/ionization mass spectrometric detection of carbohydrates: qualitative and quantitative analysis

机译:碳水化合物的量子点辅助激光解吸/电离质谱检测:定性和定量分析

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摘要

A quantum dots (QDs) assisted laser desorption/ionization mass spectrometric (QDA-LDI-MS) strategy was proposed for qualitative and quantitative analysis of a series of carbohydrates. The adsorption of carbohydrates on the modified surface of different QDs as the matrices depended mainly on the formation of hydrogen bonding, which led to higher MS intensity than those with conventional organic matrix. The effects of QDs concentration and sample preparation method were explored for improving the selective ionization process and the detection sensitivity. The proposed approach offered a new dimension to the application of QDs as matrices for MALDI-MS research of carbohydrates. It could be used for quantitative measurement of glucose concentration in human serum with good performance. The QDs served as a matrix showed the advantages of low background, higher sensitivity, convenient sample preparation and excellent stability under vacuum. The QDs assisted LDI-MS approach has promising application to the analysis of carbohydrates in complex biological samples. Copyright (c) 2016 John Wiley & Sons, Ltd.
机译:提出了一种量子点(QDs)辅助激光解吸/电离质谱(QDA-LDI-MS)策略,用于一系列碳水化合物的定性和定量分析。碳水化合物在不同量子点的改性表面上的吸附主要取决于氢键的形成,与传统的有机基质相比,氢键的MS强度更高。探讨了量子点浓度和样品制备方法对选择性电离过程和检测灵敏度的影响。所提出的方法为量子点作为碳水化合物的MALDI-MS研究的基质的应用提供了一个新的维度。具有良好的性能,可用于定量测定人血清中的葡萄糖浓度。用作基质的量子点显示出背景低,灵敏度高,样品制备方便以及在真空下具有出色稳定性的优点。量子点辅助的LDI-MS方法在分析复杂生物样品中的碳水化合物方面具有广阔的应用前景。版权所有(c)2016 John Wiley&Sons,Ltd.

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