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Binding thiourea derivatives with dimethyl methylphosphonate for sensing nerve agents
You Kyoung Chung1, Seonggyun Ha1, Tae Gyun Woo1
1Department of Chemistry, Sungkyunkwan University Suwon 16419 Korea songcs@skku.edu skkim@skku.edu.
RSC Advances
|May 6, 2022
Summary
Researchers developed new thiourea derivatives to detect organophosphonate nerve agents. Density-functional theory calculations and experimental data revealed double hydrogen bonding is key for efficient sensing substrates.
Area of Science:
- Chemical sensing
- Materials science
- Computational chemistry
Background:
- Organophosphonate nerve agents pose significant threats, necessitating the development of sensitive detection methods.
- Thiourea derivatives have shown promise as receptors for sensing chemical agents.
Purpose of the Study:
- To design and evaluate novel thiourea derivatives as efficient substrates for sensing organophosphonate nerve agents.
- To investigate the relationship between molecular structure, binding energies, and receptor efficiency.
Main Methods:
- Density-functional theory (DFT) calculations to determine binding energies and geometries of DMMP-thiourea complexes.
- Synthesis of four new thiourea derivatives (TU10-TU13).
- Quartz crystal microbalance (QCM) and real-time diffuse reflectance IR spectroscopy for experimental analysis.
Main Results:
- A strong correlation was observed between calculated binding energies and experimental receptor efficiencies for most thiourea derivatives.
- Deviations from the correlation were explained by analyzing molecular geometries and intermolecular double hydrogen bonding.
- TU13 exhibited high efficiency in QCM and IR analyses, attributed to potential unfolded geometries facilitating double H-bonding.
Conclusions:
- Intermolecular double hydrogen bonding is crucial for stable complex formation and efficient sensing of organophosphonate nerve agents.
- Molecular flexibility, influenced by substituents like methylene linkages, plays a significant role in receptor performance.
- Computational and experimental methods combined provide a comprehensive understanding of sensor-analyte interactions.
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