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Updated: Apr 15, 2026

Molecular Beam Mass Spectrometry With Tunable Vacuum Ultraviolet VUV Synchrotron Radiation
Published on: October 30, 2012
Probing methanol cluster growth by vacuum ultraviolet ionization
Biswajit Bandyopadhyay1, Oleg Kostko1, Yigang Fang1
1Chemical Sciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, United States.
Methanol cluster dynamics reveal how protonated methanol clusters form and grow. Ion-molecule reactions near the nozzle favor trimers, while further away, dimers dominate due to charged monomer-neutral interactions.
Area of Science:
- Physical Chemistry
- Chemical Physics
- Molecular Dynamics
Background:
- Understanding cluster formation and growth is crucial for solvation and nucleation phenomena.
- Mass spectrometry is a powerful tool for probing molecular cluster dynamics.
Purpose of the Study:
- To investigate the formation and growth dynamics of methanol clusters using mass spectrometry.
- To understand the factors influencing the abundance of protonated methanol clusters at different ionization distances.
Main Methods:
- Generating methanol clusters in a molecular beam.
- Ionizing clusters using vacuum ultraviolet (VUV) radiation at varying distances from the nozzle.
- Analyzing cluster distributions via time-of-flight mass spectrometry.
- Obtaining mass spectra and photoionization onsets for optimized cluster conditions.
Main Results:
- Cluster intensity distributions varied significantly with nozzle-to-ionization distance.
- Ion-molecule reactions dominated closer to the nozzle, favoring protonated species.
- The protonated trimer was most abundant at shorter distances due to solvation shell effects and photoionization cross-section.
- The protonated dimer became most abundant at farther distances due to low neutral density and enhanced monomer-neutral interactions.
Conclusions:
- The study elucidates the distinct formation pathways of protonated methanol clusters based on ionization proximity.
- Thomson's liquid drop model provides a qualitative framework for understanding the observed cluster distributions.
- These findings contribute to fundamental knowledge of solvation and nucleation processes.
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