双旋转 (DOR) NMR 光谱:进展与展望

IF 1.8 3区 化学 Q4 CHEMISTRY, PHYSICAL Solid state nuclear magnetic resonance Pub Date : 2024-03-06 DOI:10.1016/j.ssnmr.2024.101923
David L. Bryce
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引用次数: 0

摘要

双旋转(DOR)固态核磁共振光谱是 20 世纪 80 年代末开发的一种高分辨率技术。尽管 1995 年后多量子魔角旋转 (MQMAS) 成为半整数自旋四极杆最广泛使用的高分辨率方法,但 DOR NMR 在各种化学和材料科学问题上的开发和应用一直没有停止过。这篇趋势文章回顾了 DOR NMR 的发展,讨论了各种应用,并介绍了未来可能的发展方向。DOR NMR 特有的主要技术限制仅仅与双转子系统的尺寸有关。在过去 35 年中,大多数应用中使用的外转子(以及线圈)相对较大,因此转子旋转频率相对较低,填充因子较低,可用于激发和质子解耦的射频功率较弱。NMR 仪器的不断发展,包括不断缩小的 MAS 转子和球形 NMR 转子,可以解决这些问题,并可能预示着 DOR NMR 的复兴。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Double-rotation (DOR) NMR spectroscopy: Progress and perspectives

Double-rotation (DOR) solid-state NMR spectroscopy is a high-resolution technique developed in the late 1980s. Although multiple-quantum magic-angle spinning (MQMAS) became the most widely used high-resolution method for half-integer spin quadrupoles after 1995, development and application of DOR NMR to a variety of chemical and materials science problems has endured. This Trend article recapitulates the development of DOR NMR, discusses various applications, and describes possible future directions. The main technical limitations specific to DOR NMR are simply related to the size of the double rotor system. The relatively large outer rotor (and thus coil) used for most applications over the past 35 years translates into relatively low rotor spinning frequencies, a low filling factor, and weak radiofrequency powers available for excitation and for proton decoupling. Ongoing developments in NMR instrumentation, including ever-shrinking MAS rotors and spherical NMR rotors, could solve many of these problems and may augur a renaissance for DOR NMR.

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来源期刊
CiteScore
5.30
自引率
9.40%
发文量
42
审稿时长
72 days
期刊介绍: The journal Solid State Nuclear Magnetic Resonance publishes original manuscripts of high scientific quality dealing with all experimental and theoretical aspects of solid state NMR. This includes advances in instrumentation, development of new experimental techniques and methodology, new theoretical insights, new data processing and simulation methods, and original applications of established or novel methods to scientific problems.
期刊最新文献
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