Ultrafast Laplace NMR and its applications | Prof. Ville-Veikko Telkki | Session 95

Описание: During the 95th session of the Global NMR Discussion Meetings held on January 14th, 2025, via Zoom, Prof. Ville-Veikko Telkki from the University of Oulu, Finland, gave a talk on the topic "Ultrafast Laplace NMR and its multidisciplinary applications". The recording serves as a tutorial.

Find out more about Prof. Ville-Veikko Telkki's research :
https://www.oulu.fi/en/researchers/vi...

Abstract:
Laplace NMR (LNMR), comprising relaxation and diffusion experiments, provides unique information about molecular dynamics, structures and chemical environments. Multidimensional experiments enable correlating relaxation and diffusion parameters to probe different motional types and regimes as well as observing molecular exchange through relaxation or diffusion contrast. This presentation describes how multidimensional T1, T2 and T1r relaxation as well as diffusion experiments can be accelerated by orders of magnitude by spatial encoding and other means, allowing monitoring fast molecular processes in real time. These single-scan ultrafast LNMR experiments facilitate also significantly the use of nuclear spin hyperpolarization to boost sensitivity, making low concentration substances observable. The experiments are feasible also with low-field, single-sided magnets with inhomogeneous field, enhancing the portability and cost-efficiency of advanced NMR analysis. The representation highlights the multidisciplinary applications of the ultrafast LNMR methods, ranging from CO2-capturing cements, battery materials and dairy products to cellular metabolism, protein-ligand interactions, and atmospheric surfactant solutions.

Content of this video :
00:00 - 02:21 Intro on the research unit
02:22 - 28:16 Toolbox
28:17 - 50:17 Applications
50:18 - 1:09:53 Q&A

Current organizers:
Adrian Draney (Creighton Uni.)
Amrit Venkatesh (Florida State University, National High Magnetic Field Laboratory)
Asif Equbal (New York Uni., Abu Dhabi)
Blake Wilson (Robert Tycko Lab, NIH)
Charlotte Bocquelet (HMRLab, CRMN Lyon)
Diganta Sarkar (Alberta Uni.)
Julie Buhl (Uni. JKU Linz)
Marcel Levien (Emsley Lab, EPFL)
Mengshan Ye (Miller Institute, UC Berkeley)
Michael Hope (Warwick Uni.)
Mouzhe Xie (Arizona State Uni.)
Nikita Rao (Indian Institute of Science, Bangalore)
Nesreen Elathram (Debelouchina Lab, UCSD)
Tamali Nag (Uni. of Lille/Grenoble)