Predicting pyrolysis decomposition of PFOA using computational nanoreactors: a thermodynamic study

Area of Science:

• Environmental Chemistry
• Materials Science
• Computational Chemistry

Background:

• Per- and polyfluoroalkyl substances (PFAS) are persistent manufactured chemicals with environmental concerns.
• The disposal of PFAS necessitates understanding their decomposition products.
• Predicting thermal decomposition pathways is vital for managing PFAS risks.

Purpose of the Study:

• To investigate the thermal decomposition of perfluorooctanoic acid (PFOA).
• To identify PFOA decomposition products and their energies using computational methods.
• To assess the utility of nanoreactor simulations for predicting PFAS decomposition.

Main Methods:

• Utilized nanoreactor simulations to model the thermal decomposition of PFOA.
• Applied computational chemistry techniques to determine decomposition pathways and energies.
• Focused on rapid prediction with minimal researcher bias.

Main Results:

• The nanoreactor simulations predicted PFOA decomposition at approximately 650 °C.
• Identified specific decomposition products and their associated energies.
• The predicted decomposition temperature aligns with existing experimental data.

Conclusions:

• Nanoreactor simulations offer a novel and efficient method for predicting PFAS thermal decomposition.
• The study successfully identified PFOA decomposition products and temperature.
• This approach aids in the rapid assessment of risks associated with PFAS disposal.