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低场 T2 弛豫谱中 MCM-41 和 SBA-15 中水分子的增强分辨率分析。

Enhanced Resolution Analysis for Water Molecules in MCM-41 and SBA-15 in Low-Field T Relaxometric Spectra.

机构信息

Department of Fossil Fuels, AGH University of Science and Technology, A. Mickiewicza Av., 30-059 Cracow, Poland.

出版信息

Molecules. 2021 Apr 8;26(8):2133. doi: 10.3390/molecules26082133.

Abstract

Mesoporous silica materials are the subjects for relaxometric NMR studies in which we obtain information on the properties of molecules in confined geometries. The signal analysis in such investigations is generally carried out with the help of the Inverse Laplace Transform (ILT), which is accompanied by a regularization procedure. The appropriate selection of the regularization method may positively affect the resolution of the spectrum and the essence of the final conclusions. In this work, we examined the MCM-41 and SBA-15 model systems in various saturation states, using L-Curve regularization for relaxation spectra based on our own version of the fast fast ILT implementation. In a single relaxometric spectrum, the water contributions from the internal volume in the pores and between the silica particles were identified, which allowed us to trace the dynamics of the corresponding drying trends during the removal of water from the sample as a function of total water saturation.

摘要

介孔硅材料是弛豫 NMR 研究的对象,我们可以从中获得有关受限几何形状中分子性质的信息。在这些研究中,信号分析通常借助逆拉普拉斯变换 (ILT) 进行,同时伴随正则化过程。适当选择正则化方法可以积极影响谱的分辨率和最终结论的本质。在这项工作中,我们使用 L 曲线正则化方法检查了各种饱和状态下的 MCM-41 和 SBA-15 模型系统,该方法基于我们自己快速快速 ILT 实现的弛豫谱。在单个弛豫谱中,我们从内部体积和硅粒子之间的孔中鉴定出水的贡献,这使我们能够跟踪在作为总水分饱和度函数的从样品中去除水分时相应干燥趋势的动力学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e204/8068032/d50607187e4d/molecules-26-02133-g0A1.jpg

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