Advances in solid-state NMR for the studies of mesoporous solids: fast magic spinning and dynamic nuclear polarization

IF 8.2 2区 化学 Q2 CHEMISTRY, PHYSICAL
Frédéric A. Perras , Marek Pruski
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引用次数: 0

Abstract

This review provides an up-to-date account of the development of two solid-state (SS)NMR methods for enhancing resolution and sensitivity, fast magic angle spinning (MAS) and dynamic nuclear polarization (DNP), and the resulting progress in surface science. We demonstrate the high resolution and efficiency that can be achieved by using two-dimensional homo- and heteronuclear correlation experiments with small rotors capable of MAS at rates exceeding 100 kHz. DNP has offered significant enhancements in signal sensitivity and allowed access to nuclei and experiments that are beyond the limits of conventional SSNMR. The continuing progress in fast MAS and DNP methodologies in recent years generated an unprecedented shift in SSNMR’s capabilities in the studies of surface and interface regions of solids, especially mesoporous supports and catalysts. We give numerous examples of recent applications and discuss the prospects for further improvements of both methods.

Abstract Image

固体核磁共振在介孔固体研究中的进展:快速幻旋和动态核极化
本文综述了两种提高分辨率和灵敏度的固态核磁共振方法——快速魔角旋转(MAS)和动态核极化(DNP)的最新发展,以及由此产生的表面科学进展。我们展示了高分辨率和效率,可以实现使用二维同质核和异核相关实验与小转子能够在超过100 kHz的速率MAS。DNP大大提高了信号灵敏度,并允许访问超出常规SSNMR限制的核和实验。近年来,快速MAS和DNP方法的不断发展,使SSNMR在固体表面和界面区域,特别是介孔载体和催化剂研究方面的能力发生了前所未有的变化。我们给出了许多最近应用的例子,并讨论了两种方法进一步改进的前景。
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来源期刊
CiteScore
14.30
自引率
8.20%
发文量
12
审稿时长
62 days
期刊介绍: Progress in Nuclear Magnetic Resonance Spectroscopy publishes review papers describing research related to the theory and application of NMR spectroscopy. This technique is widely applied in chemistry, physics, biochemistry and materials science, and also in many areas of biology and medicine. The journal publishes review articles covering applications in all of these and in related subjects, as well as in-depth treatments of the fundamental theory of and instrumental developments in NMR spectroscopy.
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