Development and Optimization of an Electrospray Diverter for Reduced Background Signal in Ambient Ionization Sources

Area of Science:

• Analytical Chemistry
• Mass Spectrometry
• Spectroscopy

Background:

• Pulsed ambient ionization sources often suffer from background ions.
• Background ions can suppress sample signals and hinder statistical analysis.
• Infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) is susceptible to background noise, impacting mass spectrometry imaging and high-throughput screening.

Purpose of the Study:

• To develop and evaluate an electrospray diverter for IR-MALDESI.
• To reduce background ion signals in IR-MALDESI experiments.
• To enhance sample-related signals and improve data quality in mass spectrometry applications.

Main Methods:

• Development of an electrospray diverter acting as an ion shutter.
• Timing optimization of the diverter for liquid-based screening and tissue imaging.
• Evaluation of background signal reduction and sample signal enhancement.

Main Results:

• Background signal was reduced by up to 4-fold.
• Sample-related signal increased by up to 11-fold.
• A consistent relative increase in sample signal was observed without negative impacts on data.

Conclusions:

• The electrospray diverter effectively minimizes background ions in IR-MALDESI.
• This technique enhances signal quality for sensitive analytical applications.
• The developed ion shutter improves the performance of IR-MALDESI for various screening and imaging tasks.