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Flow-Optimized Model for Gas Jet Desorption Sampling Mass Spectrometry.

Xi Chen1,2, G Asher Newsome3, Michael Buchanan1

  • 1Department of Mechanical and Energy Engineering, IUPUI, 799 W. Michigan St., Indianapolis, Indiana 46202, United States.

The Journal of Physical Chemistry. A
|January 26, 2023
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Summary
This summary is machine-generated.

Computational fluid dynamics (CFD) modeling of thermal gas jet probes for ambient mass spectrometry revealed initial low particle transmission (<10%). Optimization, including proximity and baffling, achieved nearly 100% transmission.

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Area of Science:

  • Analytical Chemistry
  • Chemical Engineering
  • Mass Spectrometry

Background:

  • Thermal gas jet probes are crucial for ambient mass spectrometry but lack computational fluid dynamics (CFD) analysis.
  • Existing sampling techniques have been modeled, but thermal gas jet probes, especially post-plasma desorption/ionization sources, remain unstudied computationally.

Purpose of the Study:

  • To develop and validate a computational fluid dynamics (CFD) model for thermal gas jet probes used in ambient mass spectrometry.
  • To investigate particle trajectories and optimize sampling/transmission efficiency for desorbed particles.

Main Methods:

  • Construction of a heated nitrogen jet probe system for experimental validation.
  • Development of a CFD model to simulate particle desorption and transport.
  • Utilizing streamline and temperature optimization, and Lagrangian particle tracking.

Main Results:

  • Initial CFD models showed low particle transmission (<10%) due to pressure gradients and suboptimal geometry.
  • Particle transmission improved significantly by reducing the distance between the probe, transport tube, and sample surface.
  • Implementing a baffle to increase local pressure enhanced collection efficiency.

Conclusions:

  • CFD modeling is effective for understanding and optimizing thermal gas jet probe performance.
  • Optimal design, including close proximity to the sample and pressure baffling, can achieve near 100% particle transmission.
  • This work provides a foundation for designing more efficient ambient mass spectrometry sampling systems.