Probing molecular dynamics with hyperpolarized ultrafast Laplace NMR using a low-field, single-sided magnet† †Electronic supplementary information (ESI) available: Experimental details and numerical results pertaining to the D–T2 maps. See DOI: 10.1039/c8sc01329b
| Autor: | King, Jared N., Fallorina, Alfredo, Yu, Justin, Zhang, Guannan, Telkki, Ville-Veikko, Hilty, Christian, Meldrum, Tyler |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
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| Zdroj: | Chemical Science |
| ISSN: | 2041-6539 2041-6520 |
| Popis: | Ultrafast NMR measurements of diffusion and T2 relaxation reveal physical properties of samples and are compatible with hyperpolarization-based signal enhancement. Laplace NMR (LNMR) offers deep insights on diffusional and rotational motion of molecules. The so-called “ultrafast” approach, based on spatial data encoding, enables one to carry out a multidimensional LNMR experiment in a single scan, providing from 10 to 1000-fold acceleration of the experiment. Here, we demonstrate the feasibility of ultrafast diffusion–T2 relaxation correlation (D–T2) measurements with a mobile, low-field, relatively low-cost, single-sided NMR magnet. We show that the method can probe a broad range of diffusion coefficients (at least from 10–8 to 10–12 m2 s–1) and reveal multiple components of fluids in heterogeneous materials. The single-scan approach is demonstrably compatible with nuclear spin hyperpolarization techniques because the time-consuming hyperpolarization process does not need to be repeated. Using dynamic nuclear polarization (DNP), we improved the NMR sensitivity of water molecules by a factor of 105 relative to non-hyperpolarized NMR in the 0.3 T field of the single-sided magnet. This enabled us to acquire a D–T2 map in a single, 22 ms scan, despite the low field and relatively low mole fraction (0.003) of hyperpolarized water. Consequently, low-field, hyperpolarized ultrafast LNMR offers significant prospects for advanced, mobile, low-cost and high-sensitivity chemical and medical analysis. |
| Databáze: | OpenAIRE |
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