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- W4384132685 abstract "Solid-state nuclear magnetic resonance (ssNMR) spectroscopy can obtain structural, functional and ligand-binding information about frozen and solid-like biological samples. ssNMR spectra can be enhanced by orders of magnitude using the technique of dynamic nuclear polarisation (DNP). In DNP there is polarisation transfer from high-gyromagnetic ratio (γ) unpaired electrons to neighbouring nuclei using microwave irradiation at or near the electron Larmor frequency. This produces an absolute increase in the signal-to-noise ratio and allows experiments on much smaller quantities of sample and/or using much shorter acquisition times. Along with necessary instrumentation an essential requirement for DNP-ssNMR is a sample with an endogenous free radical or an exogenous free radical polarising agent must be added to the sample. The polarising agent must be soluble in the sample matrix and compatible with the biological sample. The free radical(s) of the polarising agent also must be stable for the lifetime of DNP-ssNMR experiments. Nitroxides have been most used as polarising agents, including the biradical compounds TOTAPOL and AMUPol with a wide range of biological samples to produce DNP enhancement factors of up to 250. Derivatives of TOTAPOL and AMUPol and many other different polarising agents have also been used. Whilst conventional polarising agents are mixed throughout the sample, others are targeted at specific sites to provide a more localised signal enhancement. Here we review the different polarising agents and spin-tags that have been used in DNP-ssNMR studies on biological samples." @default.
- W4384132685 created "2023-07-14" @default.
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- W4384132685 date "2023-07-12" @default.
- W4384132685 modified "2023-09-25" @default.
- W4384132685 title "Polarising Agents and Spin Tags for Dynamic Nuclear Polarisation (DNP)-Enhanced Solid-State Nuclear Magnetic Resonance (ssNMR) Analysis of Biological Samples" @default.
- W4384132685 doi "https://doi.org/10.31219/osf.io/pyjuk" @default.
- W4384132685 hasPublicationYear "2023" @default.
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