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

机译:激光解吸电离质谱中小分子分析的大规模纳米筛选

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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 the analysis of various classes of small molecules. Here, we present a large scale screening of 13 NPs for the analysis of twin 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.
机译:纳米粒子(NPs)已被认为是通过激光解吸电离质谱(LDI-MS)进行小分子谱分析和成像的有效基质,但是:迄今为止,尚未有比较不同NP进行各种小分子分析的系统研究。 。在这里,我们介绍了13个NP的大规模筛选,用于分析双打小代谢物分子。许多NP在正模式下显示的LDI效率要比有机基质高得多,而某些NP在负模式下显示的所选分析物的效率可比。我们的结果表明,热驱动解吸过程是金属氧化物NP的关键因素,但是化学相互作用也非常重要,尤其是对于其他NP。筛选结果为小分子LDI-MS分析中NP的选择提供了有用的指导。

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