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Enregistrement W4248741358 · doi:10.1149/ma2016-01/28/1401

Investigation of Heterogeneous Catalysts by an Electrochemical Method: Ceria and Titania-Supported Iridium Nanoparticles for Ethylene Oxidation

2016· article· en· W4248741358 sur OpenAlexaff
Yasmine M. Hajar, Holly A. E. Dole, Martin Couillard, Elena A. Baranova

Notice bibliographique

RevueECS Meeting Abstracts · 2016
Typearticle
Langueen
DomaineChemical Engineering
ThématiqueCatalysis and Oxidation Reactions
Établissements canadiensNational Research Council CanadaUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésCatalysisElectrolyteMaterials scienceChemical engineeringElectrochemistryFast ion conductorIonic bondingInorganic chemistryElectrodeChemistryOrganic chemistryPhysical chemistry

Résumé

récupéré en direct d'OpenAlex

Electrochemical promotion of catalysis (EPOC) is a well-established phenomenon in heterogeneous catalysis for enhancing catalytic activity through the application of a small electrical stimulus between the catalyst-working and counter electrode deposited on a solid electrolyte (e.g., yttria-stabilized zirconia (YSZ)) 1 . This electrical stimulus causes the backspillover of ionic species, in this case O 2- , from the solid electrolyte to the catalyst surface. A resulting change in catalytic activity is due to the modification of the electronic properties of the catalyst. The extent to which these properties can be modified depends on several factors, such as temperature, type of catalyst material and solid electrolyte, catalyst morphology, e.g., particle size and dispersion, ionic conductivity, and gas phase composition 2,3 . EPOC is an interfacial phenomenon where two-phase boundaries, i.e., catalyst/gas and catalyst/solid electrolyte, as well as the three-phase boundary (tpb), i.e., electrolyte/catalyst/gas phase play a key role in the reaction. Recent EPOC studies have shown catalytic enhancement of highly dispersed, nano-structured catalysts through the use of mixed ionic electronic conducting (MIEC) materials, i.e., CeO 2 4 and TiO 2 5 , which are in contact with the YSZ solid-electrolyte. This approach allows for considerable reduction of the mass of metal catalyst required, while maintaining the electrical conductivity of the working electrode needed to complete the electrochemical cell 6,7 . Both CeO 2 and TiO 2 are considered reducible supports. More specifically, CeO 2 , due to its non-stoichiometry, has the ability to undergo conversion between Ce 4+ and Ce 3+ quite easily 7 . TiO 2 has also been known to strongly influence the performance of the supported metal catalysts due to this reducibility 8 . These properties make the use of ceria- and titania-containing catalysts of interest for many catalytic applications. This study investigates the complete oxidation of ethylene over low particle size (1.1 nm) ruthenium and (1.0 nm) iridium nanoparticles supported on CeO 2 and TiO 2 under open (o.c.) and closed circuit conditions. Furthermore, detailed electrochemical characterization of the Ir- and Ru- based catalysts was carried out using a steady-state polarization technique. The results obtained were correlated with their o.c. catalytic performance. The discussion of this study includes the effect of temperature and applied potential on the catalytic activity of the supported and freestanding Ir and Ru catalysts. Ru and Ir nanoparticles, synthesized using a polyol reduction method, were supported on CeO 2 and TiO 2 resulting in a 1 wt% catalyst loading (RuNPs/CeO 2 , IrNPs/CeO 2 , RuNPs/TiO 2 and IrNPs/TiO 2 ). The supported and free-standing nanoparticle catalysts were deposited on one side of a YSZ solid electrolyte disk in order to apply polarization 4 . Gold counter and reference electrodes were applied on the opposite side of YSZ disk 9 . Figure 1 shows representative polarization curves of the Ir/CeO 2 catalyst at various temperatures. Positive current density (i) is due to electrochemical oxidation of ethylene and oxygen evolution at the tpb, whereas anodic current density is due to O 2 electro-reduction. As can be seen, the rate of both positive and negative current densities (i) increases with temperature, indicating an increase in the reaction rates at the tpb as a result of an increase in electrolyte conductivity. i was also found to increase from 1.26, 3.5 to 29.5 µA.cm -2 for 350, 375 and 400 o C, respectively. As a result, this indicates that as temperature is increased, there is more available O 2- at the tpb. A combination of open circuit catalytic and electrochemical measurements was used to evaluate and understand the catalytic performance of highly-dispersed Ru- and Ir-based, free-standing, and CeO 2 and TiO 2 -supported catalysts with regards to the effect of O 2- ions from the support. The presence of CeO 2 and TiO 2 was shown to play a significant role in enhancing the catalytic activity of Ru and Ir nanoparticles. Acknowledgment The financial support from Natural Science and Engineering Research Council (NSERC) is acknowledged. References 1. B. S. Vayenas Costas G., Bebelis Symeon, Pliangos Costas, Electrochemical Activation of Catalysis , (2001). 2. S. Brosda, J. Catal. , 208 , 38–53 (2002). 3. P. Vernoux et al., Chem. Rev. , 113 , 8192–8260 (2013). 4. H. A. E. Dole, A. C. G. S. A. Costa, M. Couillard, and E. A. Baranova, J. Catal. , 333 , 40–50 (2016) 5. E. I. Papaioannou et al., J. Appl. Electrochem. , 40 , 1859–1865 (2010). 6. Kambolis et al., ECS Trans. , 45 , 535–541 (2012). 7. H. A. E. Dole, L. F. Safady, S. Ntais, M. Couillard, and E. A. Baranova, J. Catal. , 318 , 85–94 (2014). 8. S. J. Tauster, Acc. Chem. Res. , 20 , 389–394 (1987). 9. H. A. E. Dole, L. F. Safady, S. Ntais, M. Couillard, and E. A. Baranova, ECS Trans. , 61 , 65–74 (2014). Figure 1

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)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,004
Score d'incertitude au seuil0,451

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
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 Opus0,018
Tête enseignante GPT0,260
Écart entre enseignants0,243 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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
Publié2016
Routes d'admission1
Résumé présentoui

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