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

Per- and polyfluoroalkyl substances (PFAS) are a large, complex, environmentally persistent, and ever-expanding group of manufactured chemicals. Disposal of these compounds could produce potentially dangerous products necessitating the need to quickly predict their decomposition products. This study...

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Detalles Bibliográficos
Autores principales: Serna-Sanchez, Elizabeth, Pellizzeri, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10466175/
https://www.ncbi.nlm.nih.gov/pubmed/37655356
http://dx.doi.org/10.1039/d3ra05187k
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author Serna-Sanchez, Elizabeth
Pellizzeri, Steven
author_facet Serna-Sanchez, Elizabeth
Pellizzeri, Steven
author_sort Serna-Sanchez, Elizabeth
collection PubMed
description Per- and polyfluoroalkyl substances (PFAS) are a large, complex, environmentally persistent, and ever-expanding group of manufactured chemicals. Disposal of these compounds could produce potentially dangerous products necessitating the need to quickly predict their decomposition products. This study focuses on the thermal decomposition of perfluorooctanoic acid (PFOA) using nanoreactor simulations to find the decomposition products and their respective energies. Applying the nanoreactor method, which is novel for this system, allows for rapid prediction of thermal decomposition pathways with minimal researcher bias and it predicted PFOA to decompose at ∼650 °C, consistent with previously reported experimental studies.
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spelling pubmed-104661752023-08-31 Predicting pyrolysis decomposition of PFOA using computational nanoreactors: a thermodynamic study Serna-Sanchez, Elizabeth Pellizzeri, Steven RSC Adv Chemistry Per- and polyfluoroalkyl substances (PFAS) are a large, complex, environmentally persistent, and ever-expanding group of manufactured chemicals. Disposal of these compounds could produce potentially dangerous products necessitating the need to quickly predict their decomposition products. This study focuses on the thermal decomposition of perfluorooctanoic acid (PFOA) using nanoreactor simulations to find the decomposition products and their respective energies. Applying the nanoreactor method, which is novel for this system, allows for rapid prediction of thermal decomposition pathways with minimal researcher bias and it predicted PFOA to decompose at ∼650 °C, consistent with previously reported experimental studies. The Royal Society of Chemistry 2023-08-30 /pmc/articles/PMC10466175/ /pubmed/37655356 http://dx.doi.org/10.1039/d3ra05187k Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Serna-Sanchez, Elizabeth
Pellizzeri, Steven
Predicting pyrolysis decomposition of PFOA using computational nanoreactors: a thermodynamic study
title Predicting pyrolysis decomposition of PFOA using computational nanoreactors: a thermodynamic study
title_full Predicting pyrolysis decomposition of PFOA using computational nanoreactors: a thermodynamic study
title_fullStr Predicting pyrolysis decomposition of PFOA using computational nanoreactors: a thermodynamic study
title_full_unstemmed Predicting pyrolysis decomposition of PFOA using computational nanoreactors: a thermodynamic study
title_short Predicting pyrolysis decomposition of PFOA using computational nanoreactors: a thermodynamic study
title_sort predicting pyrolysis decomposition of pfoa using computational nanoreactors: a thermodynamic study
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10466175/
https://www.ncbi.nlm.nih.gov/pubmed/37655356
http://dx.doi.org/10.1039/d3ra05187k
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