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Investigation of space charge effects and ion trapping capacity on direct introduction ultra‐high‐resolution mass spectrometry workflows for metabolomics

轨道轨道 化学 质谱法 代谢组学 图像拼接 分析化学(期刊) 分辨率(逻辑) 离子障 飞行时间质谱 色谱法 离子 电离 离子阱 光学 人工智能 物理 计算机科学 有机化学
作者
Ulli Martin Hohenester,Pierre Barbier Saint‐Hilaire,François Fenaille,Richard B. Cole
出处
期刊:Journal of Mass Spectrometry [Wiley]
卷期号:55 (10) 被引量:20
标识
DOI:10.1002/jms.4613
摘要

Abstract Ultra‐high‐resolution mass spectrometry, in the absence of chromatography, is finding its place for direct analyses of highly complex mixtures, such as those encountered during untargeted metabolomics screening. Advances, however, have been tempered by difficulties such as uneven signal suppression experienced during electrospray ionization. Moreover, ultra‐high‐resolution mass spectrometers that use Orbitrap and ICR analyzers both suffer from limited ion trapping capacities, owing principally to space‐charge effects. This study has evaluated and contrasted the above two types of Fourier transform mass spectrometers for their abilities to detect and identify by accurate mass measurement, small molecule metabolites present in complex mixtures. For these direct introduction studies, the Orbitrap Fusion showed a major advantage in terms of speed of analysis, enabling detection of 218 of 440 molecules (<2 ppm error, 500 000 resolution at m / z 200) present in a complex mixture in 5 min. This approach is the most viable for high‐throughput workflows, such as those used in investigations involving very large cohorts of metabolomics samples. From the same mixture, 183 unique molecules were observed by FT‐ICR in the broadband mode, but this number was raised to 235 when “selected ion monitoring‐stitching” (SIM‐stitching) was employed (<0.1 ppm error, 7 T magnet with dynamic harmonization cell, 1.8 million resolution at m / z 200, both cases). SIM‐stitching FT‐ICR thus offered the most complete detection, which may be of paramount importance in situations where it is essential to obtain the most complete metabolic profile possible. This added completeness, however, came at the cost of a more lengthy analysis time (120 min including manual treatment). Compared to the data presented here, future automation of processing, plus the use of absorption mode detection, segmented ion detection (stepwise detection of smaller width m / z sections), and higher magnetic field strengths, can substantially reduce FT‐ICR acquisition times.
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