Gallego-Sánchez, EM.; Li, C.; Paris, C.; Martín-García, N.; Martínez-Triguero, J.; Boronat Zaragoza, M.; Moliner Marin, M.... (2018). Making Nanosized CHA Zeolites with Controlled Al Distribution for Optimizing Methanol-to-Olefin Performance. Chemistry - A European Journal. 24(55):14631-14635. https://doi.org/10.1002/chem.201803637
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/146189
Title:
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Making Nanosized CHA Zeolites with Controlled Al Distribution for Optimizing Methanol-to-Olefin Performance
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Author:
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Gallego-Sánchez, Eva María
Li, Chengeng
Paris, Cecilia
Martín-García, Nuria
Martínez-Triguero, Joaquín
Boronat Zaragoza, Mercedes
Moliner Marin, Manuel
Corma Canós, Avelino
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UPV Unit:
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Universitat Politècnica de València. Instituto Universitario Mixto de Tecnología Química - Institut Universitari Mixt de Tecnologia Química
Universitat Politècnica de València. Departamento de Química - Departament de Química
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Issued date:
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Abstract:
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[EN] From theoretical calculations and a rational synthesis methodology, it has been possible to prepare nanocrystalline (60-80 nm) chabazite with an optimized framework Al distribution that has a positive impact on its ...[+]
[EN] From theoretical calculations and a rational synthesis methodology, it has been possible to prepare nanocrystalline (60-80 nm) chabazite with an optimized framework Al distribution that has a positive impact on its catalytic properties. This is exemplified for the methanol-to-olefin (MTO) process. The nanosized material with the predicted Al distribution maximizes the formation of the required MTO hydrocarbon pool intermediates, while better precluding excessive diffusion pathways that favor the rapid catalyst deactivation by coke formation.
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Subjects:
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Aluminum
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Chabazite
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Light olefins
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Methanol-to-olefin process
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Zeolites
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Copyrigths:
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Reserva de todos los derechos
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Source:
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Chemistry - A European Journal. (issn:
0947-6539
)
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DOI:
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10.1002/chem.201803637
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Publisher:
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John Wiley & Sons
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Publisher version:
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https://doi.org/10.1002/chem.201803637
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Project ID:
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info:eu-repo/grantAgreement/EC/H2020/671093/EU
MINECO/MAT2015-71261-R
MINECO/BES-2013-064347
MINISTERIO DE ECONOMÍA, INDUSTRIA Y COMPETITIVIDAD/SEV-2016-0683
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Thanks:
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This work has been supported by the EU through ERC-AdG-2014-671093, by the Spanish Government-MINECO through "Severo Ochoa" (SEV-2016-0683) and MAT2015-71261-R, and by the Fundacion Ramon Areces through a research contract ...[+]
This work has been supported by the EU through ERC-AdG-2014-671093, by the Spanish Government-MINECO through "Severo Ochoa" (SEV-2016-0683) and MAT2015-71261-R, and by the Fundacion Ramon Areces through a research contract of the "Life and Materials Science" program. E.M.G. acknowledges "La Caixa-Severo Ochoa" International PhD Fellowships (call 2015), C.L. acknowledges China Scholarship Council (CSC) for a Ph.D fellowship, and N.M. thanks MINECO for a pre-doctoral fellowship (BES-2013-064347). Red Espanola de Supercomputacion (RES) and Centre de Calcul de la Universitat de Valencia are gratefully acknowledged for computational resources.
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Type:
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Artículo
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