Automation of a surface sampling probe/electrospray mass spectrometry system

Area of Science:

• Analytical Chemistry
• Instrumentation
• Surface Science

Background:

• Traditional surface sampling electrospray systems require manual control of the probe-to-surface distance.
• Maintaining a consistent liquid microjunction is critical for effective material sampling from surfaces.
• Manual adjustments are time-consuming and can introduce variability in surface analysis.

Purpose of the Study:

• To develop an automated image analysis system for controlling surface sampling probe-to-surface distance.
• To enable hands-free operation of surface sampling electrospray systems.
• To enhance the precision and efficiency of surface analysis through automated microjunction optimization.

Main Methods:

• Development of an image analysis algorithm to monitor probe-to-surface distance.
• Integration of the algorithm into software (HandsFree TLC/MS) for automated control.
• Implementation of real-time feedback for adjusting microjunction thickness during surface scans.
• Application to automated scanning of TLC plates and imaging of inked lettering on paper.

Main Results:

• Successful "hands-free" formation and reoptimization of the liquid microjunction.
• Demonstration of fully automated surface sampling and analysis.
• Automated scanning of multiple development lanes on a reversed-phase C8 TLC plate.
• Imaging of inked lettering on a paper surface with controlled sampling.

Conclusions:

• The HandsFree TLC/MS system provides a robust solution for automating surface sampling electrospray.
• Image analysis-based automation significantly improves efficiency and consistency in surface analysis.
• The software offers advanced capabilities for post-data acquisition processing and display.