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Diffusion equation for the longitudinal spectral diffusion: the case of the RIDME experiment

Relaxation-induced dipolar modulation enhancement (RIDME) time trace shapes reveal linear scaling with the proton concentration in homogeneous glassy samples. We describe here an approximate diffusion equation-based analysis of such data, which uses only two fit parameters and allows for global data...

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Detalles Bibliográficos
Autores principales: Kuzin, Sergei, Jeschke, Gunnar, Yulikov, Maxim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533373/
https://www.ncbi.nlm.nih.gov/pubmed/36129124
http://dx.doi.org/10.1039/d2cp03039j
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author Kuzin, Sergei
Jeschke, Gunnar
Yulikov, Maxim
author_facet Kuzin, Sergei
Jeschke, Gunnar
Yulikov, Maxim
author_sort Kuzin, Sergei
collection PubMed
description Relaxation-induced dipolar modulation enhancement (RIDME) time trace shapes reveal linear scaling with the proton concentration in homogeneous glassy samples. We describe here an approximate diffusion equation-based analysis of such data, which uses only two fit parameters and allows for global data fitting with good accuracy. By construction, the approach should be transferable to other pulse EPR experiments with longitudinal mixing block(s) present. The two fit parameters appear to be sensitive to the type of the glassy matrix and can be thus used for sample characterisation. The estimates suggest that the presented technique should be sensitive to protons at distances up to 3 nm from the electron spin at a 90% matrix deuteration level. We propose that a structural method might be developed based on such an intermolecular hyperfine (ih-)RIDME technique, which would be useful, for instance, in structural biology or dynamic nuclear polarisation experiments.
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spelling pubmed-95333732022-10-31 Diffusion equation for the longitudinal spectral diffusion: the case of the RIDME experiment Kuzin, Sergei Jeschke, Gunnar Yulikov, Maxim Phys Chem Chem Phys Chemistry Relaxation-induced dipolar modulation enhancement (RIDME) time trace shapes reveal linear scaling with the proton concentration in homogeneous glassy samples. We describe here an approximate diffusion equation-based analysis of such data, which uses only two fit parameters and allows for global data fitting with good accuracy. By construction, the approach should be transferable to other pulse EPR experiments with longitudinal mixing block(s) present. The two fit parameters appear to be sensitive to the type of the glassy matrix and can be thus used for sample characterisation. The estimates suggest that the presented technique should be sensitive to protons at distances up to 3 nm from the electron spin at a 90% matrix deuteration level. We propose that a structural method might be developed based on such an intermolecular hyperfine (ih-)RIDME technique, which would be useful, for instance, in structural biology or dynamic nuclear polarisation experiments. The Royal Society of Chemistry 2022-09-13 /pmc/articles/PMC9533373/ /pubmed/36129124 http://dx.doi.org/10.1039/d2cp03039j Text en This journal is © the Owner Societies https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Kuzin, Sergei
Jeschke, Gunnar
Yulikov, Maxim
Diffusion equation for the longitudinal spectral diffusion: the case of the RIDME experiment
title Diffusion equation for the longitudinal spectral diffusion: the case of the RIDME experiment
title_full Diffusion equation for the longitudinal spectral diffusion: the case of the RIDME experiment
title_fullStr Diffusion equation for the longitudinal spectral diffusion: the case of the RIDME experiment
title_full_unstemmed Diffusion equation for the longitudinal spectral diffusion: the case of the RIDME experiment
title_short Diffusion equation for the longitudinal spectral diffusion: the case of the RIDME experiment
title_sort diffusion equation for the longitudinal spectral diffusion: the case of the ridme experiment
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533373/
https://www.ncbi.nlm.nih.gov/pubmed/36129124
http://dx.doi.org/10.1039/d2cp03039j
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