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Stepping Stones in CO(2) Utilization: Optimizing the Formate to Oxalate Coupling Reaction Using Response Surface Modeling

[Image: see text] One of the crucial steps for the conversion of CO(2) into polymers is the catalytic formate to oxalate coupling reaction (FOCR). Formate can be obtained from the (electro)catalytic reduction of CO(2), while oxalate can be further processed toward building blocks for modern plastics...

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Autores principales: Schuler, Eric, Stoop, Marit, Shiju, N. Raveendran, Gruter, Gert-Jan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579406/
https://www.ncbi.nlm.nih.gov/pubmed/34777925
http://dx.doi.org/10.1021/acssuschemeng.1c04539
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author Schuler, Eric
Stoop, Marit
Shiju, N. Raveendran
Gruter, Gert-Jan M.
author_facet Schuler, Eric
Stoop, Marit
Shiju, N. Raveendran
Gruter, Gert-Jan M.
author_sort Schuler, Eric
collection PubMed
description [Image: see text] One of the crucial steps for the conversion of CO(2) into polymers is the catalytic formate to oxalate coupling reaction (FOCR). Formate can be obtained from the (electro)catalytic reduction of CO(2), while oxalate can be further processed toward building blocks for modern plastics. In its 175 year history, multiple parameters for the FOCR have been suggested to be of importance. Yet, no comprehensive understanding considering all those parameters is available. Hence, we aim to assess the relative impact of all those parameters and deduce the optimal reaction conditions for the FOCR. We follow a systematic two-stage approach in which we first evaluate the most suitable categorical variables of catalyst, potential poisons, and reaction atmospheres. In the second stage, we evaluate the impact of the continuous variables temperature, reaction time, catalyst loading, and active gas removal within previously proposed ranges, using a response surface modeling methodology. We found KOH to be the most suitable catalyst, and it allows yields of up to 93%. Water was found to be the strongest poison, and its efficient removal increased oxalate yields by 35%. The most promising reaction atmosphere is hydrogen, with the added benefit of being equal to the gas produced in the reaction. The temperature has the highest impact on the reaction, followed by reaction time and purge rates. We found no significant impact of catalyst loading on the reaction within the ranges reported previously. This research provides a clear and concise multiparameter optimization of the FOCR and provides insight into the reaction cascade involving the formation and decomposition of oxalates from formate.
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spelling pubmed-85794062021-11-10 Stepping Stones in CO(2) Utilization: Optimizing the Formate to Oxalate Coupling Reaction Using Response Surface Modeling Schuler, Eric Stoop, Marit Shiju, N. Raveendran Gruter, Gert-Jan M. ACS Sustain Chem Eng [Image: see text] One of the crucial steps for the conversion of CO(2) into polymers is the catalytic formate to oxalate coupling reaction (FOCR). Formate can be obtained from the (electro)catalytic reduction of CO(2), while oxalate can be further processed toward building blocks for modern plastics. In its 175 year history, multiple parameters for the FOCR have been suggested to be of importance. Yet, no comprehensive understanding considering all those parameters is available. Hence, we aim to assess the relative impact of all those parameters and deduce the optimal reaction conditions for the FOCR. We follow a systematic two-stage approach in which we first evaluate the most suitable categorical variables of catalyst, potential poisons, and reaction atmospheres. In the second stage, we evaluate the impact of the continuous variables temperature, reaction time, catalyst loading, and active gas removal within previously proposed ranges, using a response surface modeling methodology. We found KOH to be the most suitable catalyst, and it allows yields of up to 93%. Water was found to be the strongest poison, and its efficient removal increased oxalate yields by 35%. The most promising reaction atmosphere is hydrogen, with the added benefit of being equal to the gas produced in the reaction. The temperature has the highest impact on the reaction, followed by reaction time and purge rates. We found no significant impact of catalyst loading on the reaction within the ranges reported previously. This research provides a clear and concise multiparameter optimization of the FOCR and provides insight into the reaction cascade involving the formation and decomposition of oxalates from formate. American Chemical Society 2021-10-25 2021-11-08 /pmc/articles/PMC8579406/ /pubmed/34777925 http://dx.doi.org/10.1021/acssuschemeng.1c04539 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Schuler, Eric
Stoop, Marit
Shiju, N. Raveendran
Gruter, Gert-Jan M.
Stepping Stones in CO(2) Utilization: Optimizing the Formate to Oxalate Coupling Reaction Using Response Surface Modeling
title Stepping Stones in CO(2) Utilization: Optimizing the Formate to Oxalate Coupling Reaction Using Response Surface Modeling
title_full Stepping Stones in CO(2) Utilization: Optimizing the Formate to Oxalate Coupling Reaction Using Response Surface Modeling
title_fullStr Stepping Stones in CO(2) Utilization: Optimizing the Formate to Oxalate Coupling Reaction Using Response Surface Modeling
title_full_unstemmed Stepping Stones in CO(2) Utilization: Optimizing the Formate to Oxalate Coupling Reaction Using Response Surface Modeling
title_short Stepping Stones in CO(2) Utilization: Optimizing the Formate to Oxalate Coupling Reaction Using Response Surface Modeling
title_sort stepping stones in co(2) utilization: optimizing the formate to oxalate coupling reaction using response surface modeling
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579406/
https://www.ncbi.nlm.nih.gov/pubmed/34777925
http://dx.doi.org/10.1021/acssuschemeng.1c04539
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