Microstructural geometry revealed by NMR line shape analysis.

IF 3.1 2区 化学 Q3 CHEMISTRY, PHYSICAL Journal of Chemical Physics Pub Date : 2025-02-28 DOI:10.1063/5.0245237
Mohamad Niknam, Louis-S Bouchard
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Abstract

We introduce a technique for extracting microstructural geometry from NMR line shape analysis in porous materials at angstrom-scale resolution with the use of weak magnetic field gradients. Diverging from the generally held view of FID signals undergoing simple exponential decay, we show that a detailed analysis of the line shape can unravel structural geometry on much smaller scales than previously thought. While the original q-space PFG NMR relies on strong magnetic field gradients in order to achieve high spatial resolution, our current approach reaches comparable or higher resolution using much weaker gradients. As a model system, we simulated gas diffusion for xenon confined within carbon nanotubes over a range of temperatures and nanotube diameters in order to unveil manifestations of confinement in the diffusion behavior. We report a multiscale scheme that couples the above-mentioned MD simulations with the generalized Langevin equation to estimate the transport properties of interest for this problem, such as diffusivity coefficients and NMR line shapes, using the Green-Kubo correlation function to correctly evaluate time-dependent diffusion. Our results highlight how NMR methodologies can be adapted as effective means toward structural investigation at very small scales when dealing with complicated geometries. This method is expected to find applications in materials science, catalysis, biomedicine, and other areas.

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核磁共振线形分析揭示的微观结构几何。
本文介绍了一种利用弱磁场梯度在埃级分辨率下从多孔材料的核磁共振线形分析中提取微结构几何形状的技术。与普遍持有的FID信号经历简单指数衰减的观点不同,我们表明,对线形的详细分析可以在比以前想象的小得多的尺度上揭示结构几何。虽然最初的q空间PFG核磁共振依赖于强磁场梯度来实现高空间分辨率,但我们目前的方法使用更弱的梯度来达到相当或更高的分辨率。作为一个模型系统,我们模拟了氙在一定温度和纳米管直径范围内的气体扩散,以揭示限制在扩散行为中的表现。我们报告了一个多尺度方案,该方案将上述MD模拟与广义朗之万方程相结合,使用Green-Kubo相关函数来正确评估随时间的扩散,以估计该问题感兴趣的输运性质,如扩散系数和核磁共振线形状。我们的研究结果强调了核磁共振方法在处理复杂几何形状时如何适应为在非常小的尺度上进行结构研究的有效手段。该方法有望在材料科学、催化、生物医学等领域得到应用。
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来源期刊
Journal of Chemical Physics
Journal of Chemical Physics 物理-物理:原子、分子和化学物理
CiteScore
7.40
自引率
15.90%
发文量
1615
审稿时长
2 months
期刊介绍: The Journal of Chemical Physics publishes quantitative and rigorous science of long-lasting value in methods and applications of chemical physics. The Journal also publishes brief Communications of significant new findings, Perspectives on the latest advances in the field, and Special Topic issues. The Journal focuses on innovative research in experimental and theoretical areas of chemical physics, including spectroscopy, dynamics, kinetics, statistical mechanics, and quantum mechanics. In addition, topical areas such as polymers, soft matter, materials, surfaces/interfaces, and systems of biological relevance are of increasing importance. Topical coverage includes: Theoretical Methods and Algorithms Advanced Experimental Techniques Atoms, Molecules, and Clusters Liquids, Glasses, and Crystals Surfaces, Interfaces, and Materials Polymers and Soft Matter Biological Molecules and Networks.
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