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大规模纳米颗粒筛选在激光解吸电离质谱中小分子分析中的应用。

Large Scale Nanoparticle Screening for Small Molecule Analysis in Laser Desorption Ionization Mass Spectrometry.

机构信息

Department of Chemistry, Iowa State University , Ames, Iowa 50011, United States.

Ames Laboratory-U.S. Department of Energy , Ames, Iowa 50011, United States.

出版信息

Anal Chem. 2016 Sep 20;88(18):8926-30. doi: 10.1021/acs.analchem.6b02732. Epub 2016 Sep 1.

Abstract

Nanoparticles (NPs) have been suggested as efficient matrixes for small molecule profiling and imaging by laser-desorption ionization mass spectrometry (LDI-MS), but so far there has been no systematic study comparing different NPs in the analysis of various classes of small molecules. Here, we present a large scale screening of 13 NPs for the analysis of two dozen small metabolite molecules. Many NPs showed much higher LDI efficiency than organic matrixes in positive mode and some NPs showed comparable efficiencies for selected analytes in negative mode. Our results suggest that a thermally driven desorption process is a key factor for metal oxide NPs, but chemical interactions are also very important, especially for other NPs. The screening results provide a useful guideline for the selection of NPs in the LDI-MS analysis of small molecules.

摘要

纳米粒子 (NPs) 已被提议作为小分子的高效基质,通过激光解吸电离质谱 (LDI-MS) 进行分析和成像,但迄今为止,还没有系统地研究比较不同 NPs 在分析各种小分子类别的性能。在这里,我们对 13 种 NPs 进行了大规模筛选,用于分析二十多种小分子代谢物。许多 NPs 在正模式下显示出比有机基质更高的 LDI 效率,而一些 NPs 在负模式下对选定的分析物显示出可比的效率。我们的结果表明,热驱动的解吸过程是金属氧化物 NPs 的关键因素,但化学相互作用也非常重要,特别是对于其他 NPs。筛选结果为 LDI-MS 分析小分子时选择 NPs 提供了有用的指导。

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