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八钙磷及其杂化衍生物的 Ca 核磁共振视角。

A Ca nuclear magnetic resonance perspective on octacalcium phosphate and its hybrid derivatives.

机构信息

ICGM, University of Montpellier, CNRS, ENSCM, Montpellier, France.

Department of Chemistry, University of Cambridge, Cambridge, UK.

出版信息

Magn Reson Chem. 2021 Sep;59(9-10):1048-1061. doi: 10.1002/mrc.5149. Epub 2021 Apr 4.

Abstract

Ca nuclear magnetic resonance (NMR) spectroscopy has been extensively applied to the detailed study of octacalcium phosphate (OCP), Ca (HPO ) (PO ) .5H O, and hybrid derivatives involving intercalated metabolic acids (viz., citrate, succinate, formate, and adipate). Such phases are of importance in the development of a better understanding of bone structure. High-resolution Ca magic angle spinning (MAS) experiments, including double-rotation (DOR) Ca NMR, as well as Ca{ H} rotational echo DOR (REDOR) and P{ Ca} REAPDOR NMR spectra, were recorded on a Ca-labeled OCP phase at very high magnetic field (20 T), and complemented by ab initio calculations of NMR parameters using the Gauge-Including Projector Augmented Wave-density functional theory (GIPAW-DFT) method. This enabled a partial assignment of the eight inequivalent Ca sites of OCP. Natural-abundance Ca MAS NMR spectra were then recorded for the hybrid organic-inorganic derivatives, revealing changes in the Ca lineshape. In the case of the citrate derivative, these could be interpreted on the basis of computational models of the structure. Overall, this study highlights the advantages of combining high-resolution Ca NMR experiments and computational modeling for studying complex hybrid biomaterials.

摘要

钙核磁共振(NMR)光谱学已广泛应用于八钙磷酸盐(OCP)、Ca(HPO4)(PO4).5H2O 和涉及嵌入代谢酸(即柠檬酸、琥珀酸、甲酸盐和己二酸)的混合衍生物的详细研究。这些相在深入了解骨结构方面具有重要意义。在非常高的磁场(20T)上对钙标记的 OCP 相记录了高分辨率的 Ca 魔角旋转(MAS)实验,包括双旋转(DOR)Ca NMR 以及 Ca{ H} 旋转回波 DOR(REDOR)和 P{ Ca} REAPDOR NMR 谱,并通过使用规范包含投影增强波密度泛函理论(GIPAW-DFT)方法的从头算计算来补充 NMR 参数。这使得 OCP 的八个不等价 Ca 位得到了部分分配。然后为混合有机-无机衍生物记录了天然丰度的 Ca MAS NMR 光谱,揭示了 Ca 线形状的变化。在柠檬酸衍生物的情况下,可以根据结构的计算模型对其进行解释。总体而言,这项研究强调了结合高分辨率 Ca NMR 实验和计算建模来研究复杂混合生物材料的优势。

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