Projects per year
Abstract
In this work the chemistry of yttrium complexes is exploited for small molecule capture and activation. Nuclear magnetic resonance (NMR) and density functional theory (DFT) studies were used to investigate the in situ formation of solution state ternary yttrium-acetate, yttrium-bicarbonate, and yttrium-pyruvate adducts with a range of polyaminocarboxylate chelates. These studies reveal that [Y(DO3A)(H2O)2] (H3DO3A – 1,4,7,10-tetraazacyclododecane-1,4,7-tricarboxylic acid) and [Y(EDTA)(H2O)2] (H4EDTA – ethylenediaminetetraacetic acid) are able to form ternary adducts with bicarbonate and pyruvate. In the latter, unusual decarboxylation of pyruvate to form acetic acid and CO2 was observed and further studied using SABRE-hyperpolarised 13C NMR (SABRE – signal amplification by reversible exchange) to provide information about the reaction timescale and lifetime of intermediates involved in this conversion. The work presented demonstrates that yttrium complexes can capture and activate small molecules, which may lead to novel and useful applications of this metal in catalysis and medical imaging.
Original language | English |
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Article number | e202201780 |
Journal | Chemistry : A European Journal |
Volume | 28 |
Issue number | 57 |
Early online date | 22 Aug 2022 |
DOIs | |
Publication status | Published - 13 Oct 2022 |
Projects
- 2 Finished
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National Centre for Translational Hyperpolarised Magnetic Resonance
Summerfield, Q. (Principal investigator), Duckett, S. B. (Co-investigator) & Green, G. G. R. (Co-investigator)
MEDICAL RESEARCH COUNCIL (MRC)
1/01/15 → 31/12/21
Project: Research project (funded) › Research
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Hyperpolarisation using SABRE as a new tool for imaging
Duckett, S. B. (Principal investigator) & Green, G. G. R. (Co-investigator)
1/10/12 → 31/03/19
Project: Research project (funded) › Research
Datasets
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In Situ Ternary Adduct Formation of Yttrium Polyaminocarboxylates Leads to Small Molecule Capture and Activation
Duckett, S. B. (Creator) & Tickner, B. (Creator), University of York, 16 Aug 2022
DOI: 10.15124/08fe7fb7-fc05-4c3a-865a-95c4be62782c
Dataset