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Updated: Jul 17, 2026

A Micro-agar Salt Bridge Electrode for Analyzing the Proton Turnover Rate of Recombinant Membrane Proteins
Published on: January 7, 2019
Absolute rate calculations. Proton transfers in solution
Monica Barroso1, Luis G Arnaut, Sebastião J Formosinho
1Chemistry Department, University of Coimbra, P-3049 Coimbra Codex, Portugal.
This study introduces the intersecting-state model with semiclassical tunneling correction (ISM/scTST) for calculating proton-transfer reaction rates. The method accurately predicts rates across diverse chemical systems without adjustable parameters.
Area of Science:
- Chemical kinetics
- Theoretical chemistry
- Computational chemistry
Background:
- Proton-transfer reactions are fundamental in chemistry and biology.
- Accurate theoretical prediction of these rates is challenging.
- Existing models often require empirical parameters.
Purpose of the Study:
- To develop and validate a parameter-free theoretical method for calculating proton-transfer reaction rates.
- To elucidate the key factors influencing proton-transfer reactivity.
- To assess the accuracy of the intersecting-state model with semiclassical tunneling correction (ISM/scTST).
Main Methods:
- Utilized the intersecting-state model combined with transition-state theory and semiclassical tunneling correction (ISM/scTST).
- Calculations were based on fundamental properties: hydrogen-bond energies, reaction energies, electrophilicity indices, bond lengths, and vibrational frequencies.
- No adjustable parameters were employed in the ISM/scTST calculations.
Main Results:
- ISM/scTST calculations achieved rates within one order of magnitude of experimental values at room temperature.
- The method demonstrated accuracy across a wide range of proton-transfer systems, including deprotonations of nitroalkanes, ketones, HCN, carboxylic acids, and excited naphthols.
- Calculated temperature dependencies and kinetic isotope effects showed good agreement with experimental data.
Conclusions:
- ISM/scTST is an efficient and accurate parameter-free method for predicting proton-transfer rates.
- The study highlights the significant roles of reaction energy, electrophilicity, structural parameters, hydrogen bonding, tunneling, and solvent effects in acid-base reactivity.
- The computational efficiency enables broad application and accessibility via the internet.
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