NuMagLongRx | Nuclear magnetic long-lived state relaxation

Summary
This project will develop computational tools that are critical in pushing forward the science of long-lived states (LLS) and their utilization as magnetic resonance beacons (MRB). The MRB support hyperpolarized nuclear spin order for long times (from few minutes to hours) and can generate enormously enhanced nuclear magnetic resonance (NMR) signals under a specific biochemical or physicochemical stimulus.
Presently, no method exists to reliably predict the LLS lifetimes and the molecules that can function as MRB have been found based only on an educated guess. An algorithm that accurately predicts LLS lifetimes will allow the design of MRB with a specific purpose, and to extend the present record of LLS lifetime to the scale of many hours. The latter will allow MRB to be hyperpolarized in a remote site and transported to the place of use for spectroscopic and imaging investigations.
The computational tools will be disseminated as a free-to-use software package, supported by documentation, workshops, instructional videos, social media posts, and online examples. The package is developed with special attention given to the fact that most of the users will not be experts in computational sciences or theoretical chemistry. The software combines molecular dynamics simulations and quantum chemical calculations in multiscale to produce propagators of the magnetization dynamics. Also, new electronic structure method will be developed to allow the inclusion of all relevant interaction mechanisms. It will include analysis tools to determine the processes and interaction mechanisms that govern LLS relaxation. The software will be experimentally optimized and applied to design MRB that are able to sustain extended LLS lifetimes.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/891400
Start date: 01-07-2020
End date: 30-06-2022
Total budget - Public funding: 212 933,76 Euro - 212 933,00 Euro
Cordis data

Original description

This project will develop computational tools that are critical in pushing forward the science of long-lived states (LLS) and their utilization as magnetic resonance beacons (MRB). The MRB support hyperpolarized nuclear spin order for long times (from few minutes to hours) and can generate enormously enhanced nuclear magnetic resonance (NMR) signals under a specific biochemical or physicochemical stimulus.
Presently, no method exists to reliably predict the LLS lifetimes and the molecules that can function as MRB have been found based only on an educated guess. An algorithm that accurately predicts LLS lifetimes will allow the design of MRB with a specific purpose, and to extend the present record of LLS lifetime to the scale of many hours. The latter will allow MRB to be hyperpolarized in a remote site and transported to the place of use for spectroscopic and imaging investigations.
The computational tools will be disseminated as a free-to-use software package, supported by documentation, workshops, instructional videos, social media posts, and online examples. The package is developed with special attention given to the fact that most of the users will not be experts in computational sciences or theoretical chemistry. The software combines molecular dynamics simulations and quantum chemical calculations in multiscale to produce propagators of the magnetization dynamics. Also, new electronic structure method will be developed to allow the inclusion of all relevant interaction mechanisms. It will include analysis tools to determine the processes and interaction mechanisms that govern LLS relaxation. The software will be experimentally optimized and applied to design MRB that are able to sustain extended LLS lifetimes.

Status

TERMINATED

Call topic

MSCA-IF-2019

Update Date

28-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.3. EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions (MSCA)
H2020-EU.1.3.2. Nurturing excellence by means of cross-border and cross-sector mobility
H2020-MSCA-IF-2019
MSCA-IF-2019