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Analytical solution of the PELDOR inverse problem using the integral Mellin transform
Anna G Matveeva1, Vyacheslav M Nekrasov, Alexander G Maryasov
1Voevodsky Institute of Chemical Kinetics and Combustion, 630090 Novosibirsk, Russia. anna.matveeva86@gmail.com.
We present a new model-free method for analyzing pulsed double electron-electron resonance (PELDOR) data. This approach directly yields the distance distribution between radicals, improving accuracy for complex molecular structures.
Area of Science:
- Biophysics
- Spectroscopy
- Computational Chemistry
Background:
- Pulsed double electron-electron resonance (PELDOR), also known as DEER, is a powerful technique for measuring distances between electron spins in molecules.
- Extracting accurate distance distribution functions from PELDOR data can be challenging, especially for complex systems.
- Current methods often rely on models or can introduce distortions and noise into the results.
Purpose of the Study:
- To develop a novel model-free approach for solving the inverse problem in PELDOR spectroscopy.
- To directly obtain the distance distribution function between two radicals from time-domain PELDOR data.
- To provide a robust and accurate analysis method for complex distance distributions.
Main Methods:
- The study employs analytical solutions to Fredholm integral equations of the first kind.
- Integral Mellin transforms are utilized to directly compute the distance distribution function.
- The method is model-free, avoiding assumptions about the underlying distribution.
Main Results:
- The proposed approach successfully obtains the distance distribution function directly from time-domain PELDOR data.
- Noise in the computed distance distribution is effectively confined to shorter distances.
- The method does not introduce systematic distortions into the analysis.
- The technique demonstrates potential for analyzing complex distance distributions.
Conclusions:
- The new model-free method offers a direct and accurate way to analyze PELDOR data.
- This approach can serve as a valuable supplement to existing techniques for determining complex distance distributions.
- The findings contribute to advancing the capabilities of electron spin resonance spectroscopy analysis.
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