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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...

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Autores principales: Chen, Furong, Wiriyarattanakul, Amphawan, Xie, Wanting, Shi, Liyi, Rungrotmongkol, Thanyada, Jia, Rongrong, Maitarad, Phornphimon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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.
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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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