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A density functional theory study of Fe(II)/Fe(III) distribution in single layer green rust: a cluster approach
Green rust (GR) is a potentially important compound for the reduction of heavy metal and organic pollutants in subsurface environment because of its high Fe(II) content, but many details of the actual reaction mechanism are lacking. The reductive capacity distribution within GR is a key to understan...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8194116/ https://www.ncbi.nlm.nih.gov/pubmed/34114107 http://dx.doi.org/10.1186/s12932-021-00076-0 |
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author | Sun, Weichao Tobler, Dominique J. Andersson, Martin P. |
author_facet | Sun, Weichao Tobler, Dominique J. Andersson, Martin P. |
author_sort | Sun, Weichao |
collection | PubMed |
description | Green rust (GR) is a potentially important compound for the reduction of heavy metal and organic pollutants in subsurface environment because of its high Fe(II) content, but many details of the actual reaction mechanism are lacking. The reductive capacity distribution within GR is a key to understand how and where the redox reaction occurs and computational chemistry can provide more details about the electronic properties of green rust. We constructed three sizes of cluster models of single layer GR (i.e., without interlayer molecules or ions) and calculated the charge distribution of these structures using density functional theory. We found that the Fe(II) and Fe(III) are distributed unevenly in the single layer GR. Within a certain range of Fe(II)/Fe(III) ratios, the outer iron atoms behave more like Fe(III) and the inner iron atoms behave more like Fe(II). These findings indicate that the interior of GR is more reductive than the outer parts and will provide new information to understand the GR redox interactions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12932-021-00076-0. |
format | Online Article Text |
id | pubmed-8194116 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-81941162021-06-15 A density functional theory study of Fe(II)/Fe(III) distribution in single layer green rust: a cluster approach Sun, Weichao Tobler, Dominique J. Andersson, Martin P. Geochem Trans Research Article Green rust (GR) is a potentially important compound for the reduction of heavy metal and organic pollutants in subsurface environment because of its high Fe(II) content, but many details of the actual reaction mechanism are lacking. The reductive capacity distribution within GR is a key to understand how and where the redox reaction occurs and computational chemistry can provide more details about the electronic properties of green rust. We constructed three sizes of cluster models of single layer GR (i.e., without interlayer molecules or ions) and calculated the charge distribution of these structures using density functional theory. We found that the Fe(II) and Fe(III) are distributed unevenly in the single layer GR. Within a certain range of Fe(II)/Fe(III) ratios, the outer iron atoms behave more like Fe(III) and the inner iron atoms behave more like Fe(II). These findings indicate that the interior of GR is more reductive than the outer parts and will provide new information to understand the GR redox interactions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12932-021-00076-0. Springer International Publishing 2021-06-11 /pmc/articles/PMC8194116/ /pubmed/34114107 http://dx.doi.org/10.1186/s12932-021-00076-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Sun, Weichao Tobler, Dominique J. Andersson, Martin P. A density functional theory study of Fe(II)/Fe(III) distribution in single layer green rust: a cluster approach |
title | A density functional theory study of Fe(II)/Fe(III) distribution in single layer green rust: a cluster approach |
title_full | A density functional theory study of Fe(II)/Fe(III) distribution in single layer green rust: a cluster approach |
title_fullStr | A density functional theory study of Fe(II)/Fe(III) distribution in single layer green rust: a cluster approach |
title_full_unstemmed | A density functional theory study of Fe(II)/Fe(III) distribution in single layer green rust: a cluster approach |
title_short | A density functional theory study of Fe(II)/Fe(III) distribution in single layer green rust: a cluster approach |
title_sort | density functional theory study of fe(ii)/fe(iii) distribution in single layer green rust: a cluster approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8194116/ https://www.ncbi.nlm.nih.gov/pubmed/34114107 http://dx.doi.org/10.1186/s12932-021-00076-0 |
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