Bibi Aisha, Ju Huangxian
State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210093, China.
J Mass Spectrom. 2016 Apr;51(4):291-7. doi: 10.1002/jms.3753.
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.
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修饰表面作为基质上的吸附主要取决于氢键的形成,这导致质谱强度高于使用传统有机基质时的强度。研究了量子点浓度和样品制备方法对改善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基质应用于碳水化合物的基质辅助激光解吸电离质谱(MALDI-MS)研究开辟了新的维度。它可用于定量测量人血清中的葡萄糖浓度,性能良好。用作基质的量子点具有背景低、灵敏度高、样品制备方便以及在真空下稳定性优异的优点。量子点辅助激光解吸电离质谱方法在复杂生物样品中碳水化合物的分析方面具有广阔的应用前景。