Can we improve solid-state NMR sensitivity without DNP ? - Sorbonne Université Access content directly
Conference Papers Year : 2023

Can we improve solid-state NMR sensitivity without DNP ?

Abstract

Solid-state Nuclear Magnetic Resonance (NMR) is suffering from an intrinsic low sensitivity, despite recent improvements. Instrumentation, fast acquisition, and signal processing approaches were investigated to circumvent this drawback as far as possible. Firstly, micro-coils (Magic Angle Coil Spinning, MACS) were placed into rotors and inductively coupled to the standard probe coil. A time gain of 5 was obtained for microquantities with a mass m = 100-200 µg. Secondly, Non-Uniform Sampling (NUS) was chosen as a way to decrease the acquisition time of indirect dimensions of multi-dimensional experiments. Poisson sampling appeared to be the best choice to limit artifacts, whereas hybrid sampling proved to be efficient on spectra with both broad and narrow peaks. A time gain of 4 was achieved. Thirdly, spectra were processed with Singular Value Decomposition (SVD) denoising. We highlighted an overestimation of Gaussian peaks by 20 %. Automatic thresholding was implemented, giving a time gain of 2.3. Finally, computation time was decreased by 100 by combining the 'divide and conquer' algorithm, optimized libraries, hardware instruction calls, and single precision.
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Dates and versions

hal-04459500 , version 1 (15-02-2024)

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Attribution - NonCommercial

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  • HAL Id : hal-04459500 , version 1

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Guillaume P. Laurent, Christian Bonhomme. Can we improve solid-state NMR sensitivity without DNP ?. GERM 2023 – Résonance Magnétique aux Extrêmes, https://germ2023.sciencesconf.org/, Jun 2023, Murol, France. ⟨hal-04459500⟩
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