Literature DB >> 25306191

On the crystal structure of the vaterite polymorph of CaCO3: a calcium-43 solid-state NMR and computational assessment.

Kevin M N Burgess1, David L Bryce2.   

Abstract

The vaterite polymorph of CaCO3 has puzzled crystallographers for decades in part due to difficulties in obtaining single crystals. The multiple proposed structures for the vaterite polymorph of CaCO3 are assessed using a combined (43)Ca solid-state nuclear magnetic resonance (SSNMR) spectroscopic and computational approach. A combination of improved experimental and computational methods, along with a calibrated chemical shift scale and (43)Ca nuclear quadrupole moment, allow for improved insights relative to our earlier work (Bryce et al., J. Am. Chem. Soc. 2008, 130, 9282). Here, we synthesize a (43)Ca isotopically-enriched sample of vaterite and perform high-resolution quadrupolar SSNMR experiments including magic-angle spinning (MAS), double-rotation (DOR), and multiple-quantum (MQ) MAS experiments at magnetic field strengths of 9.4 and 21.1T. We identify one crystallographically unique Ca(2+) site in vaterite with a slight distribution in both chemical shifts and quadrupolar parameters. Both the experimental (43)Ca electric field gradient tensor and the isotropic chemical shift for vaterite are compared to those calculated with the gauge-including projector-augmented-wave (GIPAW) DFT method in an attempt to identify the model that best represents the crystal structure of vaterite. Simulations of (43)Ca DOR and MAS NMR spectra based on the NMR parameters computed for a total of 18 structural models for vaterite allow us to distinguish between these models. Among these 18, the P3221 and C2 structures provide simulated spectra and diffractograms in best agreement with all experimental data.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Calcium carbonate; Calcium-43; Double-rotation NMR; GIPAW DFT; Polymorph; Vaterite

Year:  2014        PMID: 25306191     DOI: 10.1016/j.ssnmr.2014.08.003

Source DB:  PubMed          Journal:  Solid State Nucl Magn Reson        ISSN: 0926-2040            Impact factor:   2.293


  3 in total

1.  Empirically testing vaterite structural models using neutron diffraction and thermal analysis.

Authors:  Bryan C Chakoumakos; Brenda M Pracheil; Ryan P Koenigs; Ronald M Bruch; Mikhail Feygenson
Journal:  Sci Rep       Date:  2016-11-18       Impact factor: 4.379

2.  Stacking sequence variations in vaterite resolved by precession electron diffraction tomography using a unified superspace model.

Authors:  Gwladys Steciuk; Lukáš Palatinus; Jan Rohlíček; Salim Ouhenia; Daniel Chateigner
Journal:  Sci Rep       Date:  2019-06-24       Impact factor: 4.379

3.  Predicting hydration layers on surfaces using deep learning.

Authors:  Yashasvi S Ranawat; Ygor M Jaques; Adam S Foster
Journal:  Nanoscale Adv       Date:  2021-05-06
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.