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The Accuracy Challenge of the DFT-Based Molecular Assignment of 13C MAS NMR Characterization of Surface Intermediates in Zeolite Catalysis Full article

Journal PCCP: Physical Chemistry Chemical Physics
ISSN: 1463-9076 , E-ISSN: 1463-9084
Output data Year: 2020, Volume: 22, Number: 41, Pages: 24004-24013 Pages count : 10 DOI: 10.1039/d0cp04439c
Tags SOLID-STATE NMR; GAUSSIAN-BASIS SETS; METHANE ACTIVATION; METHOXY GROUPS; ZSM-5 ZEOLITE; ADJUSTABLE-PARAMETERS; MECHANISTIC INSIGHTS; DENSITY FUNCTIONALS; EXCHANGED ZEOLITES; CHEMICAL-SHIFTS
Authors Kolganov Alexander A. 1 , Gabrienko Anton A. 1,2 , Chernyshov Ivan Yu. 3 , Stepanov Alexander G. 1,2 , Pidko Evgeny A. 3,4
Affiliations
1 Boreskov Institute of Catalysis, Siberian Branch of the Russian Academy of Sciences, Prospekt Akademika Lavrentieva 5, Novosibirsk 630090, Russia
2 Faculty of Natural Sciences, Department of Physical Chemistry, Novosibirsk State University, Pirogova Str. 2, Novosibirsk 630090, Russia
3 TheoMAT Group, ChemBio Cluster, ITMO University, Lomonosova Street 9, Saint Petersburg, Russia
4 Inorganic Systems Engineering group, Department of Chemical Engineering, Faculty of Applied Sciences, Delft University of Technology, Van der Maasweg 9, Delft 2629 HZ, The Netherlands

Funding (2)

1 Federal Agency for Scientific Organizations 0303-2016-0003
2 Russian Foundation for Basic Research 20-33-90093

Abstract: The influence of the model and method choice on the DFT predicted 13C NMR chemical shifts of zeolite surface methoxide species has been systematically analyzed. Twelve 13C NMR chemical shift calculation protocols on full periodic and hybrid periodic–cluster DFT calculations with varied structural relaxation procedures are examined. The primary assessment of the accuracy of the computational protocols has been carried out for the Si–O(CH3)–Al surface methoxide species in ZSM-5 zeolite with well-defined experimental NMR parameters (chemical shift, δ(13C) value) as a reference. Different configurations of these surface intermediates and their location inside the ZSM-5 pores are considered explicitly. The predicted δ value deviates by up to ±0.8 ppm from the experimental value of 59 ppm due to the varied confinement of the methoxide species at different zeolite sites (model accuracy). The choice of the exchange–correlation functional (method accuracy) introduces ±1.5 ppm uncertainty in the computed chemical shifts. The accuracy of the predicted 13C NMR chemical shifts for the computational assignment of spectral characteristics of zeolite intermediates has been further analyzed by considering the potential intermediate species formed upon methane activation by Cu/ZSM-5 zeolite. The presence of Cu species in the vicinity of surface methoxide increases the prediction uncertainty to ±2.5 ppm. The full geometry relaxation of the local environment of an active site at an appropriate level of theory is critical to ensure a good agreement between the experimental and computed NMR data. Chemical shifts (δ) calculated via full geometry relaxation of a cluster model of a relevant portion of the zeolite lattice site are in the best agreement with the experimental values. Our analysis indicates that the full geometry optimization of a cluster model at the PBE0-D3/6-311G(d,p) level of theory followed by GIAO/PBE0-D3/aug-cc-pVDZ calculations is the most suitable approach for the calculation of 13C chemical shifts of zeolite surface intermediates.
Cite: Kolganov A.A. , Gabrienko A.A. , Chernyshov I.Y. , Stepanov A.G. , Pidko E.A.
The Accuracy Challenge of the DFT-Based Molecular Assignment of 13C MAS NMR Characterization of Surface Intermediates in Zeolite Catalysis
PCCP: Physical Chemistry Chemical Physics. 2020. V.22. N41. P.24004-24013. DOI: 10.1039/d0cp04439c WOS Scopus РИНЦ ANCAN PMID OpenAlex
Files: Full text from publisher
Dates:
Submitted: Aug 21, 2020
Accepted: Sep 29, 2020
Published online: Sep 30, 2020
Published print: Nov 7, 2020
Identifiers:
Web of science: WOS:000582937400048
Scopus: 2-s2.0-85094932189
Elibrary: 45175213
Chemical Abstracts: 2020:1964654
Chemical Abstracts (print): 177:106274
PMID: 33075116
OpenAlex: W3089574856
Citing:
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Scopus 13
Web of science 12
Elibrary 9
OpenAlex 11
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