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Enregistrement W4391638166 · doi:10.1149/ma2023-02542609mtgabs

Re(bipyridine)-Polypyrrole Monolayer Deposition on Nanoporous Carbon Scaffolds for Electrochemical CO<sub>2</sub> Reduction

2023· article· en· W4391638166 sur OpenAlexaff
Fatemeh Sadat Mousavizadeh Mojarad, Manila OV, Cody R. Carr, Jialang Li, Warren E. Piers, Viola Birss

Notice bibliographique

RevueECS Meeting Abstracts · 2023
Typearticle
Langueen
DomaineEnergy
ThématiqueCO2 Reduction Techniques and Catalysts
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésPolypyrroleMonolayerNanoporousElectrochemistryMaterials scienceDeposition (geology)Reduction (mathematics)Chemical engineeringCarbon fibersPolymer chemistryNanotechnologyComposite materialChemistryElectrodePolymerPolymerizationPhysical chemistryEngineering

Résumé

récupéré en direct d'OpenAlex

The CO 2 concentration in the atmosphere has increased from 280 ppm in 1750 to nearly 420 ppm in 2022, leading to multiple environmental issues. Thus, developing an efficient approach for the conversion and use of CO 2 is one of our most pressing objectives today. Among different strategies to remove CO 2 , the electrochemical conversion of CO 2 to carbon-based fuels is actively being pursued by many researchers. However, CO 2 is thermodynamically quite stable (the dissociation energy of a C=O bond is approximately 750 kJ mol -1 ) and thus the activation of the bonds in CO 2 requires a considerable overpotential, especially when carried out at low temperatures in aqueous solutions, resulting in low efficiency. Although a range of gaseous and liquid products, including formic acid, carbon monoxide, methane, ethylene, and ethanol, can be produced by transferring multiple protons and electrons, the formation of CO is simpler and more straightforward for industrial adoption. In this process, renewable energy would be used to operate the CO 2 electrolyzer to convert CO 2 to CO, which can then be utilized as a chemical feedstock to produce a variety of fuels [1]. Molecular catalysts have been widely studied for CO 2 reduction, with research on the development of solid hybrid systems that comprise an immobilized catalyst on a support well underway. This method offers further advantages, as it can further facilitate catalyst recyclability and product separation. Carbon-based materials are the most extensively employed supports discussed in the literature, due to their low cost, high electrical conductivity, and flexibility. [Re(2,2′-bipyridine)(CO) 3 Cl] ([Re(bpy)]), commonly known as Lehn's catalyst, is among the most extensively studied molecular electrocatalysts for the selective CO 2 reduction to CO. While various studies have focused on its optimization, showing excellent performance in organic solutions, CO 2 reduction should ultimately be accomplished in aqueous media. Despite the fact that hybrid systems eliminate the requirement for aqueous solubility of the catalyst, examples of immobilized [Re(bpy)] for the stable and effective CO 2 -to-CO conversion in water remain uncommon. In our previous work, the [Re(4-(4-aminophenethyl)-4′-methyl-2,2′-bipyridine)(CO) 3 Cl] ([Re-(NH 2 -bpy)]) complex was synthesized and covalently anchored to a colloid-imprinted carbon (CIC) powder by the oxidation of its amino group. The CICs have a large surface area, homogeneous and controllable pore sizes, and ultra-low tortuosity. While the Re/CIC catalyst converted CO 2 to CO with a high selectivity of 93% and a Re-based TON of around 900, its stability was poor and the coverage of the CIC by the Re catalyst was quite low [2]. In later work, catalyst anchoring on the CIC surface was achieved by electrochemical polymerization of the pyrrole group attached to the complex, producing uniform films that exhibited Faradaic efficiencies from 90-100% as well as very good long-term stability under catalytic conditions, producing CO with a selectivity of over 70% for at least 24 hours [3]. Herein, we report a similar [Re(bpy)] hybrid electrode constructed by covalent surface tethering of the Re catalyst via pyrrole polymerization but using a self-supported nanoporous carbon scaffold. The advantages of adopting the NCS as opposed to powdered supports include the lack of needed binder, which can cover active sites, the ease of imaging the catalyst before and after testing, and the ability to carry out flow through experiments to overcome mass transport issues and also local pH effects. The CO 2 RR tests were performed in an H-cell using a KHCO 3 solution saturated with CO 2 , while the catalyst was loaded onto the NCS either by immersing the NCS in a 5 mM Re solution followed by electrodeposition in a Re-free solution (Method A), or by electrodeposition at slow sweep rates in the Re-containing solution (Method B). The bare NCS was studied first, showing the exclusive production of hydrogen, similar to the CIC powders, whereas our hybrid electrode generated 100% CO between -0.4 and -0.7 V vs. RHE. Method A showed that the number of immersion steps used for Re deposition correlated with the coverage of the NCS by the catalyst, in turn giving higher selectivity, higher activity, and a significantly higher TOF (0.13 s -1 vs. 0.03 s -1 , found with the CICs). This is due to better [Re] utilisation within the NCS pores (more electroactive [Re]) and a better morphology, retaining the open pores after catalyst deposition. However, the durability was compromised at higher CO 2 RR rates. In comparison, Method B showed similar excellent performance metrics, while also exhibiting better reproducibility for samples prepared identically. References Jin, S., et al., Angewandte Chemie, 2021. 133 (38) Willkomm, J., et al., ACS Applied Energy Materials, 2019. 2 (4) Willkomm, J., et al., ACS Catalysis, 2021. 11 (3)

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,028
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,251
Écart entre enseignants0,237 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2023
Routes d'admission1
Résumé présentoui

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