ArticleJournal of the American Society for Mass Spectrometry2019
Design Characteristics to Eliminate the Need for Parameter Optimization in Nanoflow ESI-MS.
Article in Journal of the American Society for Mass Spectrometry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Regarding Emitter Positioning for Nanoflow Electrospray Ionization with a High-Capacity Inlet Capillary.Journal of the American Society for Mass Spectrometry · 2026Article
- Critical Role of Voltage Application Points in "Analog" and "Digital" Electrospray Ionization Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2025Article
- Trends in Mass Spectrometry-Based Single-Cell Proteomics.Analytical chemistry · 2025Review
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The sampling efficiency in electrospray ionization-mass spectrometry (ESI-MS) can be improved by decreasing the liquid flow rate to the nanoflow regime, where it is possible to draw a large fraction of the ESI plume into the mass spectrometer. This mode of operation is typically more difficult than ESI-MS at higher flow rates because it requires careful optimization of a number of parameters to achieve optimal sampling efficiency. In this work, we screened the relative impact on signal intensity and spray stability of factors that included sprayer position, spray electrode protrusion, sprayer tip shape, spray angle relative to the MS inlet, nebulizer gas flow rate, ESI potential, and means for generating the electric field to initiate electrospray. Based on the screening results, we explore the possibility of providing fixed optimal values for many of the key source parameters to eliminate much of the tuning that is required for conventional nanoflow sources. This approach has potential to greatly simplify nanoflow ESI-MS, while providing optimized sensitivity, stability, and robustness, with decreased variability between analyses.
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