The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Link between Reactivity and Local Structure in Acid Catalysis on Zeolites
Abstract
The extent to which spatial constraints influence rates and pathways in catalysis depends on the structure of intermediates, transition states, and active sites involved. We aim to answer, as we seek insights into catalytic mechanisms and site requirements, persistent questions about the potential for controlling rates and selectivities by rational design of spatial constraints around active sites within inorganic structures useful as catalysts. This Account addresses these matters for the specific case of reactions on zeolites that contain Brønsted acid sites encapsulated within subnanometer channels. We compare and contrast here the effects of local zeolite structure on the dynamics of the carbonylation of surface methyl groups and of the isotopic exchange of CD4 with surface OH groups on zeolites. Methyl and hydroxyl groups are the smallest monovalent cations relevant in catalysis by zeolites. Their small size, taken together with their inability to desorb except via reactions with other species, allowed us to discriminate between stabilization of cationic transition states and stabilization of adsorbed reactants and products by spatial constraints. We show that apparent effects of proton density and of zeolite channel structure on dimethyl ether carbonylation turnover rates reflect instead the remarkable specificity of eight-membered ring zeolite channels in accelerating kinetically relevant steps that form *COCH3 species via CO insertion into methyl groups. This specificity reflects the selective stabilization of cationic transition states via interactions with framework oxygen anions. These findings for carbonylation catalysts contrast sharply the weak effects of channel structure on the rate of exchange of CD4 with OH groups. This latter reaction involves concerted symmetric transition states with much lower charge than that required for CH3 carbonylation. Our Account extends the scope of shape selectivity concepts beyond those reflecting size exclusion and preferential adsorption. Our ability to discriminate among various effects of spatial constraints depends critically on dissecting chemical conversions into elementary steps of kinetic relevance and on eliminating secondary reactions and accounting for the concomitant effects of zeolite structure on the stability of adsorbed reactants and intermediates.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Ordered porous materials for emerging applications
Davis, M. E. (2002) · Nature · doi:10.1038/nature00785 · Cited by 5,308
Cited by
Machine Learning for Catalysis Informatics: Recent Applications and Prospects
Toyao, T., Maeno, Z., Takakusagi, S., Kamachi, T., Takigawa, I., & Shimizu, K.-I. (2020) · ACS Catalysis · doi:10.1021/acscatal.9b04186 · Cited by 617
New Stories of Zeolite Structures: Their Descriptions, Determinations, Predictions, and Evaluations
Li, Y., & Yu, J. (2014) · Chemical Reviews · doi:10.1021/cr500010r · Cited by 603
Engineering Zeolites for Catalytic Cracking to Light Olefins
Blay, V., Louis, B., Miravalles, R., Yokoi, T., Peccatiello, K. A., Clough, M., & Yilmaz, B. (2017) · ACS Catalysis · doi:10.1021/acscatal.7b02011 · Cited by 277
Quantitatively Probing the Al Distribution in Zeolites
Vjunov, A., Fulton, J. L., Huthwelker, T., Pin, S., Mei, D., Schenter, G. K., Govind, N., Camaioni, D. M., Hu, J. Z., & Lercher, J. A. (2014) · Journal of the American Chemical Society · doi:10.1021/ja501361v · Cited by 251
Machine learning potential era of zeolite simulation
Ma, S., & Liu, Z.-P. (2022) · Chemical Science · doi:10.1039/d2sc01225a · Cited by 57
Metadata
- Authors
- Bhan, A., & Iglesia, E.
- Venue
- Accounts of Chemical Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-02-16
- Volume
- 41
- Issue
- 4
- Pages
- 559-567
- ISSN
- 0001-4842 (ISSN-L)
- 1520-4898
- OpenAlex
- W2002397717
- Cited by
- 298
- References
- 1
- FWCI
- 12.01
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.