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Published on: April 12, 2019
How to conceptualize catalytic cycles? The energetic span model.
Sebastian Kozuch1, Sason Shaik
1Department of Organic Chemistry, The Weizmann Institute of Science, Rehovot, Israel. sebastian.kozuch@weizmann.ac.il
The energetic span model links theoretical energy profiles to catalytic cycle efficiency, calculating turnover frequency (TOF) using key rate-determining states. This computational approach simplifies predicting catalyst performance by identifying the TOF-determining intermediate and transition state.
Area of Science:
- Computational Chemistry
- Catalysis
- Chemical Kinetics
Background:
- Catalytic cycle efficiency is experimentally measured by rate constants (k-representation) but theoretically calculated via state energies (E-representation).
- A direct link between theoretical energy profiles and catalytic turnover frequency (TOF) has been lacking.
- Transition State Theory (TST) posits equivalence between energy and rate representations but lacks a simple predictive tool for TOF.
Purpose of the Study:
- Introduce the energetic span model to bridge the gap between theoretical energy profiles and experimental TOF.
- Provide a straightforward method for calculating catalytic cycle efficiency from computational data.
- Reframe kinetic concepts in catalysis, moving from rate-determining steps to rate-determining states.
Main Methods:
- Developed the energetic span (δE) model based on Eyring's TST and steady-state approximations.
- Identified the TOF-determining transition state (TDTS) and TOF-determining intermediate (TDI) using the degree of TOF control (X(TOF)).
- Applied the model to analyze catalytic cycles, including the effect of reactant and product concentrations.
Main Results:
- The energetic span model enables direct TOF calculation from energy profiles, analogous to Ohm's law (TOF = chemical potential / chemical resistance).
- Identified TDTS and TDI as critical states governing catalytic efficiency, not necessarily the highest or lowest energy states.
- Demonstrated that only species between TDI and TDTS influence reaction rate, linking theory to experimental observations.
Conclusions:
- The energetic span model provides a robust theoretical framework for predicting and understanding catalyst efficiency.
- Catalytic cycles are better conceptualized by rate-determining states (TDI and TDTS) rather than rate-determining steps.
- The model facilitates a direct correlation between computational predictions and experimental catalytic performance in organometallic reactions.
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