Synthesis and screening of heterogeneous multimetallic nanoparticle catalysts for mono-, poly- and heteroaromatic hydrogenation activity under mild conditions
Notice bibliographique
Résumé
Nanoparticle catalysts have shown to be advantageous over traditional catalysts for many reasons and active for a wide variety of reactions. This thesis describes an approach for the synthesis and screening of heterogeneous multimetallic nanoparticle catalysts for aromatic hydrogenation activity in a quick and time efficient manner, as well as detailed testing and characterization of identified active catalysts. Over 90 mono- and bimetallic nanoparticle catalysts supported on alumina were screened for toluene hydrogenation activity under ambient conditions. Through this approach, four catalysts were determined to be active: RhPt/Al2O3, RuPt/Al2O3, IrPt/Al2O3, and IrRh/Al2O3. These catalysts were further tested in bulk, and RhPt/Al2O3 was confirmed to be the catalyst with the highest observed rate of all the bimetallic combinations screened. Further studies were then performed where the metal loading, temperature, pressure and substrate to metal ratios were varied to determine the effects of these variables on the activity of the RhPt/Al2O3 catalyst, and a CS2 poisoning study was performed on this catalyst to determine the number of active sites. TEM, XPS and BET were used to characterize the active catalysts. Based on the success of the developed approach, a series of trimetallic nanoparticle catalysts were then synthesized and tested for the hydrogenation of toluene under ambient conditions and one trimetallic catalyst was selected for further studies. Next, a series of multimetallic nanoparticle catalysts supported on a variety of metal oxides were synthesized and screened for catalytic activity. Using the High Throughput Facility at the Centre for Catalysis Research and Innovation at the University of Ottawa, 72 different catalysts were screened for catalytic activity for the hydrogenation of toluene, naphthalene, pyridine, indole, quinoline, thiophene and benzothiophene under mild conditions. Bulk kinetic studies, including temperature and pressure studies, were performed using select catalysts for the hydrogenation of naphthalene and quinoline and a quinoline loading study was also conducted. Standard materials characterization techniques were used to acquire information about the size and oxidation state of the nanoparticle catalysts. To conclude this work, further research directions including expansions of this thesis work and further directions for the field of nanoparticle catalysis were suggested.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».