Long-loved nuclear singlet spin order and its applications | Prof. Giuseppe Pileio | Session 84

During the 84th session of the Global NMR Discussion Meetings held on April 30th, 2024 via Zoom, Prof. Giuseppe Pileio from the University of Southampton, UK gave a talk on the topic "Long-loved nuclear singlet spin order and its applications". The recording serves as a tutorial. Prof. Pileio's research : https://generic.wordpress.soton.ac.uk... Abstract: Nuclear singlet spin order is the population difference between the singlet and triplet states in a system of two coupled spin-1/2 nuclei. This form of order is long-lived, silent and accessible on demand. For almost two decades, my research activities were focused at exploiting these three main properties of nuclear spin order to develop new applications in NMR and MRI. In this talk, I will introduce the concept and the main features of singlet order as well as the tools developed for its manipulations. I will then show how we are using this form of order to enhance several NMR and MRI techniques for the long-term storage of hyperpolarisation, to obtain a new form of contrast in MRI, for the measurements of slow diffusion and flow, or for the determination of structural features of porous media such as tortuosity and structural anisotropy through singlet-assisted diffusion NMR. Content of this video : 00:00 - 14:51 Introduction to long-lived spin order 14:52 - 21:00 Long-time storage of hyperpolarization 21:01 - 24:40 Ts contrast in MRI 24:41 - 27:47 Imaging macroscopic diffusion 27:48 - 31:16 Singlet-assisted q-space diffraction 31:17 - 39:03 Singlet-assisted diffusion tensor imaging 39:04 - 41:40 Singlet-assisted tortuosity measurements 41:41 - 50:42 Field-cycling singlet-assisted diffusion NMR 50:43 - 1:01:58 Q&A Current organizers: Adrian Draney (Creighton Uni., Chemistry) Amrit Venkatesh (Florida State University, National High Magnetic Field Laboratory) Asif Equbal (New York Uni., Abu Dhabi) Blake Wilson (Robert Tycko Lab, NIH) Michael Hope (Warwick Uni., Chemistry) Mouzhe Xie (Maurer Lab, Uni. Chicago) Nino Wili (Niels Chr Nielsen Lab, Aarhus Uni.) Nesreen Elathram (Debelouchina Lab, UCSD) Charlotte Bocquelet (HMRLab, CRMN Lyon)