17O NMR relaxation measurements for investigation of molecular dynamics in static solids using sodium nitrate as a model compound

IF 1.8 3区 化学 Q4 CHEMISTRY, PHYSICAL Solid state nuclear magnetic resonance Pub Date : 2024-11-20 DOI:10.1016/j.ssnmr.2024.101976
Liliya Vugmeyster , Riqiang Fu , Dmitry Ostrovsky
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Abstract

17O NMR methods are emerging as a powerful tool for determination of structure and dynamics in materials and biological solids. We present experimental and theoretical frameworks for measurements of 17O NMR relaxation times in static solids focusing on the excitation of the central transition of the 17O spin 5/2 system. We employ 17O-enriched NaNO3 as a model compound, in which the nitrate oxygen atoms undergo 3-fold jumps. Rotating frame (T1ρ), transverse (T2) and longitudinal (T1) relaxation times as well as line shapes were measured for the central transition in the 280 to 195 K temperature range at 14.1 and 18.8 T field strengths. We conduct experimental and theoretical comparison between different relaxation methods and demonstrate the advantage of combining data from multiple relaxation time and line shape measurements to obtain a more accurate determination of the dynamics as compared to either of the techniques alone. The computational framework for relaxation of spin 5/2 nuclei is developed using the numerical integration of the Liouville − von Neumann equation.

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以硝酸钠为模型化合物进行 17O NMR 驰豫测量以研究静态固体中的分子动力学
17O NMR 方法正在成为确定材料和生物固体结构和动力学的有力工具。我们介绍了测量静态固体中 17O NMR 驰豫时间的实验和理论框架,重点是 17O 自旋 5/2 系统中心跃迁的激发。我们以富含 17O 的 NaNO3 为模型化合物,其中的硝酸氧原子发生了 3 次跃迁。在 14.1 和 18.8 T 场强下,测量了 280 至 195 K 温度范围内中心转变的旋转框架 (T1ρ)、横向 (T2) 和纵向 (T1) 弛豫时间以及线形。我们对不同的弛豫方法进行了实验和理论比较,并证明了将多种弛豫时间和线形测量数据结合起来的优势,从而获得比单独使用其中一种技术更精确的动力学测定结果。自旋 5/2 原子核弛豫的计算框架是利用柳维尔-冯-诺依曼方程的数值积分建立的。
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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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