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Published on: April 22, 2016
Association Kinetics for Perfluorinated n-Alkyl Radicals
Hrishikesh Ram1,2,3, Yuri Georgievskii3, Sarah N Elliott3,4
1Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27606, United States.
This study provides crucial theoretical data on the thermal decomposition of perfluoroalkanes (PFAS). The findings offer reliable kinetic models for understanding PFAS degradation in high-temperature environments.
Area of Science:
- Chemical Kinetics
- Environmental Chemistry
- Computational Chemistry
Background:
- Radical-radical reactions are key in per- and polyfluoroalkyl substances (PFAS) pyrolysis and oxidation.
- Unbranched perfluoroalkyl chains' unimolecular dissociation and association reactions significantly impact gas-phase thermal decomposition.
- Experimental data for these reactions are scarce and uncertain, hindering accurate modeling.
Purpose of the Study:
- To investigate the chemical kinetics of association/decomposition reactions for C2-C4 unbranched n-perfluoroalkanes.
- To provide reliable theoretical predictions for these reactions, addressing the lack of experimental data.
- To generate data suitable for comprehensive chemical kinetic models of PFAS thermal destruction.
Main Methods:
- Utilized state-of-the-art ab initio transition-state-theory-based master-equation calculations.
- Employed variable-reaction-coordinate transition-state theory (VRC-TST) for microcanonical and canonical rates.
- Applied composite quantum chemistry and a connectivity-based hierarchy for thermochemistry; direct dynamics for collision parameters.
Main Results:
- Calculated microcanonical and canonical rates for association reactions of C2-C4 perfluoroalkanes.
- Determined temperature- and pressure-dependent rate constants for association and dissociation reactions.
- Generated data in standardized formats for integration into chemical kinetic models.
Conclusions:
- The study provides essential theoretical kinetic data for key PFAS decomposition pathways.
- The generated data can improve the accuracy of models predicting PFAS behavior in thermal processes.
- This work addresses a critical knowledge gap in PFAS environmental chemistry and remediation.
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