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Data for Conformations in solution and in solid-state polymorphs : correlating experimental and calculated nuclear magnetic resonance chemical shifts for tolfenamic acid
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Blade, Helen, Blundell, Charles D., Brown, Steven P., Carson, Jake, Dannatt, Hugh R., Hughes, Leslie P. and Menakath, Anjali K. (2020) Data for Conformations in solution and in solid-state polymorphs : correlating experimental and calculated nuclear magnetic resonance chemical shifts for tolfenamic acid. [Dataset]
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Abstract
A new approach for quantitively assessing putative crystal structures with applications in crystal structure prediction (CSP) is introduced that is based upon experimental solution- and magic-angle spinning (MAS) solid-state NMR data and density functional theory (DFT) calculation. For the specific case of tolfenamic acid (TFA), we consider experimental solution-state NMR for a range of solvents, experimental MAS NMR of polymorphs I and II, and DFT calculations for four polymorphs. The change in NMR chemical shift observed in passing from the solution state to the solid state (ΔδExperimental) is calculated as the difference between 1H and 13C experimental solid-state chemical shifts for each polymorphic form (δSolid expt) and the corresponding solution-state NMR chemical shifts (δSolution expt). Separately, we use the gauge-included projector augmented wave (GIPAW) method to calculate the NMR chemical shifts for each form (δSolid calc) and for TFA in solution (δSolution calc), using the dynamic 3D solution conformational ensemble determined from NMR spectroscopy. The calculated change in passing from the solution state to the solid state, ΔδCalculated, is then calculated as the difference of δSolid calc and δSolution calc. Regression analysis for ΔδCalculated against ΔδExperimental followed by a t-test for statistical significance provides a robust quantitative assessment. We show that this assessment clearly identifies the correct polymorph, i.e., when comparing ΔδExperimental based on the experimental MAS NMR chemical shifts of Form I or II with ΔδCalculated based on calculated chemical shifts for polymorphs I, II, III and IV. Complementarity to the established approach of comparing δSolid expt to δSolid calc is explored. We further show that our approach is applicable if there are no solid-state crystal structure data. Specifically, δSolid calc in ΔδCalculated is replaced by the chemical shift for an isolated molecule with a specific conformation. Sampling conformations at specific 15° angle values and comparing them against experimental 13C chemical shift data for Forms I and II identifies matching narrow ranges of conformations, successfully predicting the conformation of tolfenamic acid in each form. This methodology can therefore be used in crystal structure prediction to both reduce the initial conformational search space and also quantitatively assess subsequent putative structures to reliably and unambiguously identify the correct structure.
Item Type: | Dataset | ||||||
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Subjects: | Q Science > QC Physics Q Science > QD Chemistry |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Physics | ||||||
Type of Data: | Experimental data | ||||||
Library of Congress Subject Headings (LCSH): | Crystallography, Polymorphism (Crystallography), Nuclear magnetic resonance | ||||||
Publisher: | University of Warwick, Department of Physics | ||||||
Official Date: | 23 September 2020 | ||||||
Dates: |
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Status: | Not Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Media of Output (format): | .RAW, .docx, .cell, .magres, .cif, .par, .txt, .png, .xml, .prop, .por, .info, .temp | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Copyright Holders: | University of Warwick | ||||||
Description: | Data record consists of a zip archive containing raw data, organised into named subfolders according to CASTEP calculations, solid-state NMR data and PXRD analysis, and an accompanying readme file. |
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Date of first compliant deposit: | 23 September 2020 | ||||||
Date of first compliant Open Access: | 23 September 2020 | ||||||
RIOXX Funder/Project Grant: |
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