Fast, sensitive and portable NMR methods for characterizing porous structures, fluid dynamics and molecular exchange phenomena in biomaterials |
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Author: | Kharbanda, Yashu1,2 |
Organizations: |
1University of Oulu Graduate School 2University of Oulu, Faculty of Science, Physics, NMR Research Unit (NMR) |
Format: | ebook |
Version: | published version |
Access: | open |
Online Access: | PDF Full Text (PDF, 2 MB) |
Persistent link: | http://urn.fi/urn:isbn:9789526235301 |
Language: | English |
Published: |
Oulu : University of Oulu,
2022
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Publish Date: | 2023-04-17 |
Thesis type: | Doctoral Dissertation |
Defence Note: | Academic Dissertation to be presented with the assent of the Faculty of Science, University of Oulu, for public discussion in the Auditorium L6, on December 2nd, 2022, at 12 o’clock noon |
Tutor: |
Professor Ville-Veikko Telkki Doctor Mateusz Urbańczyk Doctor Sarah Mailhiot |
Reviewer: |
Professor Sarah L. Codd Professor Rustem Valiullin |
Opponent: |
Assistant Professor Diana Bernin |
Kustos: |
Professor Ville-Veikko Telkki |
Description: |
AbstractThe aim of this thesis is to investigate biomaterials using one and two-dimension Laplace Nuclear Magnetic Resonance (LNMR). LNMR is a class of NMR experiments that cover relaxation and self-diffusion measurements. Multidimensional LNMR experiments improve resolution and enable correlating relaxation and diffusion parameters. However, multidimensional experiments are limited by their long experiment times. To overcome this issue, acceleration methods can be used, such as ultrafast Laplace NMR (UF LNMR), which allows for measuring two-dimension data in a single scan. The first part of the thesis focuses on investigating the pore structures of cellulose nanofibril (CNF) aerogels using NMR cryoporometry, diffusometry, and magnetic resonance imaging (MRI). Aerogels are a special kind of material which have low density and high surface area. CNF aerogels are environmentally friendly and utilized as oil and chemical spill sorbents. The NMR methods allowed us to determine the nano-, micro- and submillimeter scale pore size distributions of CNF aerogels. The second part of the thesis concentrates on accelerating restricted diffusion measurements. Two different accelerating strategies were used. In the ultrafast approach, various effective gradient pulse lengths are encoded into a layer of the sample in a single scan. In the time-resolved approach, random increments of gradient strengths are associated with a constant increase in diffusion delay. Both methods were shown to be able to measure the restricted diffusion of water molecules inside a thermally modified wood sample with a ten-fold decreased experiment time. The third part of the thesis focuses on evaluating the changes in cheese structure during ripening using a single-sided NMR magnet. The cheese structure was monitored using one- and two-dimensional T2, T1-T2, and D-T2 NMR experiments. The experiments enabled observation of the three main components of cheese, namely water, fat, and water associated with casein protein as well as monitoring their evolution as a function of ripening time. In the last part of the thesis, we demonstrate that ultrafast diffusion exchange spectroscopy (UF DEXSY) experiments are feasible by a single-sided NMR magnet. Significant sensitivity boost provided by dissolution dynamic nuclear polarization (dDNP) method enabled single-scan UF DEXSY measurements in a fraction of a second. We exploited the method in the investigation of water exchange between intra- and extracellular pools in fresh yeast cells. see all
Osajulkaisut / Original papersOsajulkaisut eivät sisälly väitöskirjan elektroniseen versioon. / Original papers are not included in the electronic version of the dissertation.
see all
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Series: |
Report series in physical sciences |
ISSN: | 1239-4327 |
ISSN-E: | 2814-967X |
ISSN-L: | 1239-4327 |
ISBN: | 978-952-62-3530-1 |
ISBN Print: | 978-952-62-3529-5 |
Issue: | 150 |
Type of Publication: |
G5 Doctoral dissertation (articles) |
Field of Science: |
114 Physical sciences |
Subjects: | |
Copyright information: |
© University of Oulu, 2022. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited. |