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Computational Prediction of Tc-99 NMR Chemical Shifts in Technetium Complexes with Radiopharmaceutical Applications

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Abstract

The Tc-99m nucleus is the most used nuclide in radiopharmaceuticals designed for imaging diagnosis. The metal can exist in nine distinct oxidation states and forms distinct coordination complexes with a variety of chelating agents and geometries. These complexes are usually characterized through Tc-99 NMR that is very sensitive to the Tc coordination sphere. Therefore, predicting Tc-99 NMR might be useful to assist experimentalists in structural characterization. In the present study, we propose three computational protocols for predicting Tc-99 NMR chemical shifts based on density functional theory calculations using relativistic and nonrelativistic Hamiltonians: the relativistic Model 1, the nonrelativistic Model 2, and the empirical nonrelativistic Model 3. In Models 2 and 3, the NMR-DKH basis set was used for all atoms, including the Tc, for which it was developed here. All models were applied for a set of 41 Tc-complexes with metal oxidation states 0, I, and V, for which the Tc-99 chemical shift was available experimentally. The mean absolute deviation and the mean relative deviation were 67 ppm and 4.8% (Model 1), 92 ppm and 6.2% (Model 2), and 65 ppm and 4.9% (Model 3), respectively. Last, the effect of the explicit solvent was evaluated for the [TcO2(en)2]+─Tc(V) complex. The calculated results for the Tc-99 NMR chemical shift at SO-ZORA-SSB-D/TZ2P-ZORA/COSMO//TPSS/def2-SVP/IEF-PCM(UFF) show that the inclusion of 14 water molecules (first solvation shell) together with the implicit solvation model leads to an absolute deviation of only 7 ppm (0.3%) from the experimental value, indicating that the solvent effects play a key role in predicting Tc-99 NMR.

Original languageEnglish
Pages (from-to)5434-5448
Number of pages15
JournalJournal of Physical Chemistry A
Volume126
Issue number32
Early online date5 Aug 2022
DOIs
Publication statusPublished - 18 Aug 2022

Bibliographical note

Funding Information:
D.F.S.P. would like to thank the Brazilian agency FAPERJ (E-26/010.002261/2019─EMERGENTES) for the financial support. HFDS also thank CNPq (307018/2021–0) and FAPEMIG for the continuing support to NEQC-UFJF laboratory. CFG thanks the Netherlands Organization for Scientific Research (NWO). This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior─Brasil (CAPES)─Finance Code 001.

Publisher Copyright:
© 2022 American Chemical Society. All rights reserved.

Funding

D.F.S.P. would like to thank the Brazilian agency FAPERJ (E-26/010.002261/2019─EMERGENTES) for the financial support. HFDS also thank CNPq (307018/2021–0) and FAPEMIG for the continuing support to NEQC-UFJF laboratory. CFG thanks the Netherlands Organization for Scientific Research (NWO). This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior─Brasil (CAPES)─Finance Code 001.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  2. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

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