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Analysis of Complex Molecules and Their Reactions on Surfaces by Means of Cluster-Induced Desorption/Ionization Mass Spectrometry
Published on: March 1, 2020
Developing repeatable measurements for reliable analysis of molecules at surfaces using desorption electrospray
F M Green1, P Stokes, C Hopley
1National Physical Laboratory, Teddington, Middlesex TW11 0LW, UK. Felicia.Green@npl.co.uk
Analytical Chemistry
|March 14, 2009
Summary
This study optimizes desorption electrospray ionization (DESI) for robust surface analysis. By developing a model sample, we achieved excellent repeatability and sensitivity for mass spectrometry applications.
Area of Science:
- Analytical Chemistry
- Surface Science
- Mass Spectrometry
Background:
- Desorption electrospray ionization (DESI) is a key ambient ionization technique for direct surface analysis.
- Limited research exists on DESI's fundamental parameters and metrology, hindering industrial adoption.
- Understanding these factors is crucial for developing DESI into a reliable technique.
Purpose of the Study:
- To systematically investigate parameters influencing DESI repeatability, sensitivity, and material consumption.
- To develop and utilize a model sample for optimizing DESI performance.
- To elucidate the electrospray-sample interaction and desorption mechanisms.
Main Methods:
- Development of a model sample: a thin, uniform Rhodamine B film on glass.
- Systematic study of parameters affecting DESI performance (repeatability, sensitivity, material consumption).
- Confocal microscopy to analyze droplet distribution, material utilization, and spot size.
Main Results:
- Optimized DESI parameters achieved absolute intensity repeatability better than 15% over 1 day.
- The model sample enabled detailed study of electrospray-sample interactions and desorption.
- Surface erosion rates were determined, analogous to sputtering yield.
Conclusions:
- The study provides a clear understanding of how electrospray parameters affect DESI performance.
- Optimization led to improved spatial resolution and sensitivity.
- The developed model sample and methodology advance DESI for industrial applications.
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