2021
DOI: 10.1039/d1sc00151e
|View full text |Cite
|
Sign up to set email alerts
|

Kinetic effects of molecular clustering and solvation by extended networks in zeolite acid catalysis

Abstract: “Solvent effects” at interfaces in heterogeneous catalysts are described by transition state theory treatments that identify kinetic regimes associated with molecular clustering and the solvation of such clusters by extended molecular networks.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
26
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 27 publications
(27 citation statements)
references
References 96 publications
(78 reference statements)
1
26
0
Order By: Relevance
“…Substrate clustering effects were also reported for small-pore zeolites by di Iorio et al [36] who tried to explain observed high-pressure inhibition of methanol dehydration turnover rates by clustering of molecules of adsorbed substrate which can increase the apparent barriers to form kinetically relevant transition states. Recently, similar substrate clustering effects on the kinetics of methanol and ethanol dehydration over chabazite zeolites were reported also by Bates et al [37][38][39] who claimed that such solventmediated charge interactions which influence the free energy landscape have broader implications for kinetics of heterogeneous catalyzed reactions.…”
Section: Introductionsupporting
confidence: 64%
See 2 more Smart Citations
“…Substrate clustering effects were also reported for small-pore zeolites by di Iorio et al [36] who tried to explain observed high-pressure inhibition of methanol dehydration turnover rates by clustering of molecules of adsorbed substrate which can increase the apparent barriers to form kinetically relevant transition states. Recently, similar substrate clustering effects on the kinetics of methanol and ethanol dehydration over chabazite zeolites were reported also by Bates et al [37][38][39] who claimed that such solventmediated charge interactions which influence the free energy landscape have broader implications for kinetics of heterogeneous catalyzed reactions.…”
Section: Introductionsupporting
confidence: 64%
“…For chabazite samples, the TPSR method showed that the value of activation energy depends on the number of ethanol molecules in the unit cell of zeolite and decreases from values similar to those determined from the H/D methodology to values of about 102-105 kJ•mol −1 . This effect is most likely due to the formation of the interparticle clusters mentioned in other studies [37][38][39], which promote the deprotonation of chabazite zeolitic acid sites.…”
mentioning
confidence: 77%
See 1 more Smart Citation
“…The catalytic consequences of distinct reaction environments manifest as differences in the activation and adsorption enthalpies and entropies that comprise free energy landscapes. Precise molecular-level descriptions of adsorbate and transition state solvation require that catalytic turnover rates be measured as functions of reactant thermodynamic activities and rigorously normalized by the number of active sites that facilitate such chemical transformations. , This allows for kinetic data to be interpreted in terms of equilibrium adsorption constants and apparent (or intrinsic) rate constants in order to extract free energy differences between final and initial states for a sequence of elementary catalytic steps and establish structure–function relationships that describe catalysis at solid–liquid interfaces …”
Section: Catalytic Turnover Rates Depend On Lewis Acidic Active Site ...mentioning
confidence: 99%
“…Solid catalytic surfaces often interact strongly with solvent molecules via interfacial adsorption or unwanted side reactions and, as a result, can undergo profound and sometimes irreversible changes in their structure and catalytic performance . Thus, the design of catalysts capable of performing selective chemical transformations in the liquid phase requires a deep understanding of the interactions that occur between solvent molecules, active sites, and reactive moieties during catalysis. , Biological catalysts navigate such complex free energy landscapes by manipulating solvent molecules to facilitate catalytic transformations via specific arrangements of hydrophobic and hydrophilic amino acid residues that comprise microporous reaction environments (<2 nm in diameter). These precise architectures regulate the structure of occluded solvent and substrate molecules along the reaction coordinate, granting enthalpy–entropy compromises that alter reaction free energy landscapes and enhance turnover rates .…”
Section: Introductionmentioning
confidence: 99%