离子
质谱法
超临界流体
色散(光学)
电离
离子迁移光谱法
分析化学(期刊)
液相色谱-质谱法中的离子抑制
计算流体力学
化学
离子源
材料科学
色谱法
阀体孔板
超临界流体色谱法
串联
流量(数学)
工作(物理)
体积流量
串联质谱法
氘
伦敦分散部队
化学电离
等离子体
静电学
领域(数学)
机械
作者
Toshinobu Hondo,Yumi Miyake,Michisato Toyoda
出处
期刊:Mass spectrometry
[The Mass Spectrometry Society of Japan]
日期:2025-12-26
卷期号:15 (1): A0186-A0186
标识
DOI:10.5702/massspectrometry.a0186
摘要
Instrumental dispersion in the ion source can severely distort fast chromatographic peaks in supercritical fluid chromatography (SFC)-mass spectrometry (MS). Despite this importance, the dispersion characteristics specific to medium-vacuum chemical ionization (MVCI) sources have not been quantitatively investigated. In this work, we combine targeted experiments with established computational tools-computational fluid dynamics (CFD) and electrostatic field simulation-to characterize ion transport in the MVCI flow tube. Arrival profiles of vitamin K1 (VK1) ions monitored by selected ion monitoring consistently showed a reproducible two-component structure consisting of an early narrow bandwidth ion packet followed by a delayed shoulder. CFD calculations reproduce this tailing peak profile, and electrostatic modeling further revealed that applying the same potential to the MVCI flow tube and inner cylinder generates lateral potential walls that inhibit long-residence-time ions from entering the skimmer. Introducing an appropriate potential difference between the MVCI inner cylinder and the skimmer orifice isolates the MVCI flow field from the ion guide region and suppresses long residence-time trajectories, which narrows the VK1 peak width by more than threefold and restores the intrinsic column efficiency of a sub-2-μm SFC column (from the theoretical plate (N) = 3120 to 12079). These results provide a practical diagnostic and mitigation framework for ion-source derived dispersion in MVCI, demonstrating that modest electrostatic confinement is effective in maintaining chromatographic fidelity in high-speed SFC-MVCI-MS. The present work also highlights the utility of CFD for evaluating proposed MVCI flow designs and their influence on peak dispersion.
科研通智能强力驱动
Strongly Powered by AbleSci AI