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The Diffusion of Passive Tracers in Laminar Shear Flow
Published on: May 1, 2018
Diffusion equation for the longitudinal spectral diffusion: the case of the RIDME experiment
Sergei Kuzin1, Gunnar Jeschke1, Maxim Yulikov1
1ETH Zürich, Department of Chemistry and Applied Bioscience, Laboratory of Physical Chemistry, Vladimir-Prelog-Weg 2, 8093 Zürich, Switzerland. sergei.kuzin@phys.chem.ethz.ch.
This study introduces a new analysis for Relaxation-Induced Dipolar Modulation Enhancement (RIDME) experiments. The method accurately characterizes proton concentration and glassy matrix properties using just two parameters.
Area of Science:
- Electron Paramagnetic Resonance (EPR) Spectroscopy
- Materials Science
- Physical Chemistry
Background:
- Relaxation-Induced Dipolar Modulation Enhancement (RIDME) is a technique used in EPR spectroscopy.
- Understanding proton concentration and matrix properties is crucial for various applications.
Purpose of the Study:
- To develop a simplified, diffusion equation-based analysis for RIDME time trace data.
- To enable accurate characterization of proton concentration and glassy matrices using minimal parameters.
Main Methods:
- Utilized an approximate diffusion equation-based analysis for RIDME time traces.
- Employed a global data fitting approach with only two adjustable parameters.
- Demonstrated transferability to other EPR experiments with longitudinal mixing blocks.
Main Results:
- RIDME time trace shapes showed linear scaling with proton concentration in homogeneous glassy samples.
- The two-parameter fitting approach achieved good accuracy for global data fitting.
- The fit parameters proved sensitive to the type of glassy matrix, enabling sample characterization.
- The technique is estimated to detect protons up to 3 nm from electron spins at 90% matrix deuteration.
Conclusions:
- A robust and accurate method for analyzing RIDME data has been presented.
- This technique offers a sensitive approach for structural characterization, potentially applicable in structural biology and DNP experiments.
- The developed method facilitates sample characterization based on proton concentration and matrix properties.
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