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Detection of Nitric Oxide and Superoxide Radical Anion by Electron Paramagnetic Resonance Spectroscopy from Cells using Spin Traps
Published on: August 18, 2012
Long-lived nitric oxide molecular tagging velocimetry with 1 + 1 REMPI
Researchers developed long-lived nitric oxide (NO) fluorescence for molecular tagging velocimetry (MTV). This technique offers significantly improved accuracy and precision for flow velocity measurements in hypersonic applications.
Area of Science:
- Fluid dynamics
- Laser-based diagnostics
- Spectroscopy
Background:
- Molecular Tagging Velocimetry (MTV) is a technique used for measuring flow velocities.
- Nitric oxide (NO) fluorescence is commonly used for MTV, but its short lifetime can limit precision.
- Existing NO fluorescence lifetimes are typically in the nanosecond range at relevant pressures.
Purpose of the Study:
- To demonstrate a method for generating long-lived NO fluorescence for MTV.
- To investigate the physical mechanism behind the long-lived NO signal.
- To assess the potential of this technique for enhanced velocimetry accuracy and precision.
Main Methods:
- Utilized 1+1 resonance-enhanced multiphoton ionization (REMPI) of NO near 226 nm.
- Targeted overlapping Q1(7) and Q21(7) lines of the A-X (0,0) electronic system.
- Measured fluorescence lifetime in a 100-Torr cell with 2% NO in nitrogen.
Main Results:
- Achieved a long-lived NO fluorescence signal with a lifetime of approximately 8.6 µs.
- Observed a fluorescence lifetime significantly longer (by orders of magnitude) than traditional single-photon NO fluorescence (approx. 43 ns).
- Successfully employed the technique for precise flow velocity measurements in a high-speed jet flow.
Conclusions:
- The demonstrated long-lived NO fluorescence offers potential for an order of magnitude improvement in velocimetry accuracy and precision.
- This technique is particularly promising for lower-speed regions of hypersonic flows, such as wakes and boundary layers.
- The detailed understanding of the physical mechanism enables further optimization and application of this advanced MTV method.
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