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Quantitative Structure–Electrochemistry Relationship (QSER) Studies on Metal–Amino–Porphyrins for the Rational Design of CO(2) Reduction Catalysts
The quantitative structure–electrochemistry relationship (QSER) method was applied to a series of transition-metal-coordinated porphyrins to relate their structural properties to their electrochemical CO(2) reduction activity. Since the reactions mainly occur within the core of the metalloporphyrin...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10096077/ https://www.ncbi.nlm.nih.gov/pubmed/37049867 http://dx.doi.org/10.3390/molecules28073105 |
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author | Chen, Furong Wiriyarattanakul, Amphawan Xie, Wanting Shi, Liyi Rungrotmongkol, Thanyada Jia, Rongrong Maitarad, Phornphimon |
author_facet | Chen, Furong Wiriyarattanakul, Amphawan Xie, Wanting Shi, Liyi Rungrotmongkol, Thanyada Jia, Rongrong Maitarad, Phornphimon |
author_sort | Chen, Furong |
collection | PubMed |
description | The quantitative structure–electrochemistry relationship (QSER) method was applied to a series of transition-metal-coordinated porphyrins to relate their structural properties to their electrochemical CO(2) reduction activity. Since the reactions mainly occur within the core of the metalloporphyrin catalysts, the cluster model was used to calculate their structural and electronic properties using density functional theory with the M06L exchange–correlation functional. Three dependent variables were employed in this work: the Gibbs free energies of H*, C*OOH, and O*CHO. QSER, with the genetic algorithm combined with multiple linear regression (GA–MLR), was used to manipulate the mathematical models of all three Gibbs free energies. The obtained statistical values resulted in a good predictive ability (R(2) value) greater than 0.945. Based on our QSER models, both the electronic properties (charges of the metal and porphyrin) and the structural properties (bond lengths between the metal center and the nitrogen atoms of the porphyrin) play a significant role in the three Gibbs free energies. This finding was further applied to estimate the CO(2) reduction activities of the metal–monoamino–porphyrins, which will prove beneficial in further experimental developments. |
format | Online Article Text |
id | pubmed-10096077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100960772023-04-13 Quantitative Structure–Electrochemistry Relationship (QSER) Studies on Metal–Amino–Porphyrins for the Rational Design of CO(2) Reduction Catalysts Chen, Furong Wiriyarattanakul, Amphawan Xie, Wanting Shi, Liyi Rungrotmongkol, Thanyada Jia, Rongrong Maitarad, Phornphimon Molecules Article The quantitative structure–electrochemistry relationship (QSER) method was applied to a series of transition-metal-coordinated porphyrins to relate their structural properties to their electrochemical CO(2) reduction activity. Since the reactions mainly occur within the core of the metalloporphyrin catalysts, the cluster model was used to calculate their structural and electronic properties using density functional theory with the M06L exchange–correlation functional. Three dependent variables were employed in this work: the Gibbs free energies of H*, C*OOH, and O*CHO. QSER, with the genetic algorithm combined with multiple linear regression (GA–MLR), was used to manipulate the mathematical models of all three Gibbs free energies. The obtained statistical values resulted in a good predictive ability (R(2) value) greater than 0.945. Based on our QSER models, both the electronic properties (charges of the metal and porphyrin) and the structural properties (bond lengths between the metal center and the nitrogen atoms of the porphyrin) play a significant role in the three Gibbs free energies. This finding was further applied to estimate the CO(2) reduction activities of the metal–monoamino–porphyrins, which will prove beneficial in further experimental developments. MDPI 2023-03-30 /pmc/articles/PMC10096077/ /pubmed/37049867 http://dx.doi.org/10.3390/molecules28073105 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chen, Furong Wiriyarattanakul, Amphawan Xie, Wanting Shi, Liyi Rungrotmongkol, Thanyada Jia, Rongrong Maitarad, Phornphimon Quantitative Structure–Electrochemistry Relationship (QSER) Studies on Metal–Amino–Porphyrins for the Rational Design of CO(2) Reduction Catalysts |
title | Quantitative Structure–Electrochemistry Relationship (QSER) Studies on Metal–Amino–Porphyrins for the Rational Design of CO(2) Reduction Catalysts |
title_full | Quantitative Structure–Electrochemistry Relationship (QSER) Studies on Metal–Amino–Porphyrins for the Rational Design of CO(2) Reduction Catalysts |
title_fullStr | Quantitative Structure–Electrochemistry Relationship (QSER) Studies on Metal–Amino–Porphyrins for the Rational Design of CO(2) Reduction Catalysts |
title_full_unstemmed | Quantitative Structure–Electrochemistry Relationship (QSER) Studies on Metal–Amino–Porphyrins for the Rational Design of CO(2) Reduction Catalysts |
title_short | Quantitative Structure–Electrochemistry Relationship (QSER) Studies on Metal–Amino–Porphyrins for the Rational Design of CO(2) Reduction Catalysts |
title_sort | quantitative structure–electrochemistry relationship (qser) studies on metal–amino–porphyrins for the rational design of co(2) reduction catalysts |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10096077/ https://www.ncbi.nlm.nih.gov/pubmed/37049867 http://dx.doi.org/10.3390/molecules28073105 |
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