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Enregistrement W3025923416 · doi:10.1149/ma2020-01492742mtgabs

Macroporous Rgo Electrode Decorated with Co<sub>3</sub>O<sub>4</sub> Nanoparticles for Selective Catalytic Electro-Oxidation of Water

2020· article· en· W3025923416 sur OpenAlexaff
Gabriele Capilli, Yiwen Chen, Thomas Szkopek, Marta Cerruti

Notice bibliographique

RevueECS Meeting Abstracts · 2020
Typearticle
Langueen
DomaineEnergy
ThématiqueElectrocatalysts for Energy Conversion
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésCatalysisNanoparticleGrapheneMaterials scienceChemical engineeringOxideElectrolyteInorganic chemistryMembraneNanotechnologyElectrodeChemistryMetallurgy

Résumé

récupéré en direct d'OpenAlex

OBJECTIVES The electro-oxidation of H2O to O2 is a promising process to store energy into a green fuel. Its intrinsic high kinetic barrier requires the use of catalysts to lower the applied potential; moreover, it suffers the competition of side-reactions like Cl‒ oxidation to chlorine, an undesirable corrosive by-product. The high concentration of Cl‒ ions in seawater is one of the major obstacles which hinders the direct employment of such widely available resource as the electrolyte for O2 production (Adv. Mater., 2018, 30, 1707261). The benchmark electrocatalysts based on noble metals (Pt, IrO2) are not selective toward Cl‒, and their scarcity prevents their practical large-scale application. Earth-abundant oxides and (oxy)hydroxides of first-row transition metals (FeOOH, NiOOH, Co3O4) are robust and show even higher catalytic performances than Pt/IrO2. Unfortunately they are not selective against Cl‒ oxidation (ACS Catal., 2014, 4, 3701). In this work, we aim to suppress Cl‒ interference on heterogeneous catalysts through a carefully designed electrode architecture. We synthesize a free-standing, conducting, 3D macroporous reduced graphene oxide (rGO) composite with catalytic Co3O4 nanoparticles (NP) selectively deposited just on the internal walls of its closed, not interconnected pores (average diameter 100 µm). The pore walls act as membranes made of multiple stacked rGO nanosheets; the nanochannels between rGO layers have width < 1 nm which previous works have shown to be permeable to water and gases while preventing the diffusion of dissolved ions like Cl‒ (e.g. Nat. Mater., 2017, 16, 1198). Since the catalytic sites are accessible selectively to the substrates able to permeate through the rGO walls, the water electro-oxidation is expected to happen without suffering the competing Cl2 evolution. The most common method for synthesizing 3D rGO porous materials is through self-assembly of graphene oxide (GO) suspensions during hydrothermal reduction. However, this method leads to scaffolds with small open pores with diameters in the micrometer range (e.g. ACS Nano, 2010, 7, 4324). A macroporous closed structure, instead, allows for selectivity together with higher diffusion rates of the permeating species from the outer solution to the reaction sites. For this reason, in our strategy we synthesize the scaffolds starting from emulsions of hexane droplets in water stabilized by GO nanosheets as soft template for the macroporous structure. RESULTS We modify the amphiphilicity of GO by adding different amounts of surfactants to produce so-called high internal phase emulsions (HIPE) stabilized by GO. These are single phase emulsions characterized by a high amount of emulsified phase (Hex:H2O ratio > 0.75), and a long-term stability (several months). Then, we convert the HIPE in the final 3D scaffolds by triggering the self-assembly of GO sheets through a hydrothermal reduction with slow temperature ramp, at the end of which hexane has entirely evaporated due to its low boiling point. Through this simple process we are able to control the architecture of the rGO scaffolds without polymerizations or post-modifications. We can control the pore size by tuning the templating HIPE droplet size, which we show depends on the GO concentration, hexane to water ratio, hexane to volume ratio, and emulsifying method (time and power). Because of its superior structural homogeneity compared to the conventional diluted emulsions previously reported (J. Mater. Chem. A, 2015, 3, 4018), a HIPE brings several advantages to the final material, i.e. better mechanical properties, very high surface area, and lower electrical resistivity (2.6±1.3 kΩcm). This is also the first study which reports the addition of a metal-organic precursor (of Co3+ in this specific case), or metal oxide NP (specifically Co3O4) functionalized with a hydrophobic layer, in the apolar phase during the preparation of the emulsion template, and then exploits the immiscible nature of the apolar and water phases to selectively decorate with catalytic NP only the internal wall of the closed pores. This feature requires the formation of highly stable initial GO HIPE and cannot be achieved by any other strategy previously reported. SIGNIFICANCE OF THE WORK The rGO macroporous materials produced are currently under investigation as self-standing electrocatalysts for selective water oxidation with respect to chlorine evolution. We will then test these electrodes for water decontamination and as anodes in energy storage devices. While in this work we focus on Co3O4, our approach allows the encapsulation of any type of nanocatalyst (metal oxide/metal-based NP) inside the closed rGO macropores, just by changing the hydrophobic precursor. Such materials may exhibit electrocatalytic activity and selectivity towards a variety of substrates that can permeate through the rGO walls while suppressing any competitive reaction involving interfering species which are rejected by the rGO walls. 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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,001
Score d'incertitude au seuil0,002

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
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 Opus0,009
Tête enseignante GPT0,211
Écart entre enseignants0,202 · 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 source (Gemma direct ou Codex distillé), 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

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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