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首页> 外文期刊>Journal of magnetic resonance >Investigating pore geometry in heterogeneous porous samples using spatially resolved G(0) - Delta chi(app) and G(0) - Delta v correlations
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Investigating pore geometry in heterogeneous porous samples using spatially resolved G(0) - Delta chi(app) and G(0) - Delta v correlations

机译:使用空间分辨的G(0) - delta chi(app)和g(0) - delta V相关性研究异质多孔样品中的孔几何形状

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This study presents a two-dimensional NMR pulse sequence for obtaining spatially resolved correlations between magnetic susceptibility induced internal gradients (G(0)), and both the apparent difference in magnetic susceptibility (Delta chi(app)) and spectral frequency (Delta v). G(0) - Delta chi(app) correlations were utilized to generate spatially resolved pore size distributions, while the G(0) - Delta v correlations were used to additionally evaluate sample heterogeneity. The spatially resolved measurements were performed on a water saturated heterogeneous porous sample which contains one layer of 5-50 mu m glass spheres (top layer) and one layer of 140-165 mu m glass spheres (bottom layer). The slice selection was validated by applying the pulse sequence on a liquid mineral oil and water sample as well as on the porous sample. The resulting spatially resolved pore size distributions show very good agreement with results from our previously published non slice selective pulse sequence in the 140-165 mu m glass spheres and good agreement in the 5-50 mu m glass spheres. The G(0) - Delta v correlations correctly indicate a slightly higher degree of heterogeneity in the 5-50 mu m glass spheres compared to the 140-165 mu m glass spheres. (C) 2019 Elsevier Inc. All rights reserved.
机译:该研究呈现了一种二维NMR脉冲序列,用于获得磁性敏感性诱导的内梯度(G(0))之间的空间分辨相关性,以及磁化率的表观差异(Delta Chi(App))和光谱频率(Delta V) 。 G(0) - Delta Chi(APP)相关性用于产生空间分辨的孔径分布,而G(0) - ΔV相关性用于另外评估样品异质性。在水饱和的异质多孔样品上进行空间分辨的测量,其含有一层5-50μm玻璃球(顶层)和一层140-165μm玻璃球(底层)。通过在液体矿物油和水样以及多孔样品上施加脉冲序列来验证切片选择。由此产生的空间分辨的孔径分布显示了在140-165亩玻璃球体中先前公布的未发布的非切片选择性脉冲序列的结果非常良好。与140-165μmM玻璃球相比,G(0) - ΔV相关标准指示5-50μmm玻璃球中略高的异质性。 (c)2019 Elsevier Inc.保留所有权利。

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