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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Royal Society of Chemistry
2023
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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. |
format | Online Article Text |
id | pubmed-10466175 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
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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