Rapid sample injection for hyperpolarized NMR spectroscopy

Literature Information

Publication Date 2010-05-04
DOI 10.1039/C002316G
Impact Factor 3.676
Authors

Sean Bowen, Christian Hilty


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Abstract

Due to its ability to enhance the signal of a single NMR scan by several orders of magnitude, solid-to-liquid state dynamic nuclear polarization (DNP) appears well suited for the analysis of minimal amounts of compounds, as well as for the study of rapid chemical reactions. A key requirement in enabling the application of DNP-NMR to typical small-molecule substances encountered in chemistry and biochemistry is the ability to obtain high-resolution spectra, while at the same time minimizing the loss of polarization due to spin relaxation between the separate steps of DNP polarization and NMR measurement. Here, we present data demonstrating the capability of measuring DNP enhanced NMR spectra of compounds with comparably short relaxation times, with only minimal line broadening attributable to the sample transfer process. We discuss the performance characteristics of a sample injection apparatus specifically designed to provide high-resolution DNP-NMR spectra of small molecule compounds.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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