Evaluation of nuclear magnetic relaxation dispersion (NMRD) curves obtained by the fast field cycling nuclear magnetic resonance (FFC-NMR) relaxometry technique is a valuable tool for analyzing the microscopic dynamics of condensed matter systems. However, quantitative data analysis involves several conceptual and practical issues. Moving forward from previous literature approaches, we propose a new analysis method, relying on the elaboration of the inverse integral transform of the NMRD curve. Our approach results in a true heuristic method, able to unambiguously individuate the dynamic domains in the system, thereby avoiding the possible introduction of any element of discretion. The analysis of some data sets relevant to real samples suggests the possibility that the results obtained with the heuristic method may be actually led back to some distinct physical/chemical features of the systems.

Lo Meo, P., Terranova, S., Di Vincenzo, A., Chillura Martino, D., & Conte, P. (2021). Heuristic Algorithm for the Analysis of Fast Field Cycling (FFC) NMR Dispersion Curves. ANALYTICAL CHEMISTRY, 1-6 [10.1021/acs.analchem.1c01264].

Heuristic Algorithm for the Analysis of Fast Field Cycling (FFC) NMR Dispersion Curves

Lo Meo, Paolo
;
Terranova, Samuele;Di Vincenzo, Antonella;Chillura Martino, Delia;Conte, Pellegrino
2021

Abstract

Evaluation of nuclear magnetic relaxation dispersion (NMRD) curves obtained by the fast field cycling nuclear magnetic resonance (FFC-NMR) relaxometry technique is a valuable tool for analyzing the microscopic dynamics of condensed matter systems. However, quantitative data analysis involves several conceptual and practical issues. Moving forward from previous literature approaches, we propose a new analysis method, relying on the elaboration of the inverse integral transform of the NMRD curve. Our approach results in a true heuristic method, able to unambiguously individuate the dynamic domains in the system, thereby avoiding the possible introduction of any element of discretion. The analysis of some data sets relevant to real samples suggests the possibility that the results obtained with the heuristic method may be actually led back to some distinct physical/chemical features of the systems.
Settore CHIM/06 - Chimica Organica
Settore CHIM/02 - Chimica Fisica
Settore AGR/13 - Chimica Agraria
Lo Meo, P., Terranova, S., Di Vincenzo, A., Chillura Martino, D., & Conte, P. (2021). Heuristic Algorithm for the Analysis of Fast Field Cycling (FFC) NMR Dispersion Curves. ANALYTICAL CHEMISTRY, 1-6 [10.1021/acs.analchem.1c01264].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10447/513289
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