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Related Concept Videos

Catalysis01:27

Catalysis

Catalysis influences the rate of chemical reactions by providing an alternative reaction pathway with lower activation energy. A catalyst speeds up a reaction, but it is not consumed during the process. The fundamental principle of catalysis is the ability of a catalyst to alter the reaction mechanism, often introducing a more efficient pathway than the uncatalyzed process.In a catalyzed reaction, the catalyst participates directly in the reaction mechanism. It interacts with reactants to form...
Catalysis02:50

Catalysis

The presence of a catalyst affects the rate of a chemical reaction. A catalyst is a substance that can increase the reaction rate without being consumed during the process. A basic comprehension of a catalysts’ role during chemical reactions can be understood from the concept of reaction mechanisms and energy diagrams.
Turnover Number and Catalytic Efficiency01:19

Turnover Number and Catalytic Efficiency

The turnover number of an enzyme is the maximum number of substrate molecules it can transform per unit time. Turnover numbers for most enzymes range from 1 to 1000 molecules per second. Catalase has the known highest turnover number, capable of converting up to 2.8×106 molecules of hydrogen peroxide into water and oxygen per second. Lysozyme has the lowest known turnover number of half a molecule per second.
Chymotrypsin is a pancreatic enzyme that breaks down proteins during digestion. The...
Introduction to Mechanisms of Enzyme Catalysis01:13

Introduction to Mechanisms of Enzyme Catalysis

For many years, scientists thought that enzyme-substrate binding took place in a simple "lock-and-key" fashion. This model stated that the enzyme and substrate fit together perfectly in one instantaneous step. However, current research supports a more refined view scientists call induced fit. The induced-fit model expands upon the lock-and-key model by describing a more dynamic interaction between enzyme and substrate. As the enzyme and substrate come together, their interaction causes a mild...
Introduction to Mechanisms of Enzyme Catalysis01:13

Introduction to Mechanisms of Enzyme Catalysis

For many years, scientists thought that enzyme-substrate binding took place in a simple "lock-and-key" fashion. This model stated that the enzyme and substrate fit together perfectly in one instantaneous step. However, current research supports a more refined view scientists call induced fit. The induced-fit model expands upon the lock-and-key model by describing a more dynamic interaction between enzyme and substrate. As the enzyme and substrate come together, their interaction causes a mild...
Heterogeneous Catalysis01:22

Heterogeneous Catalysis

Heterogeneous catalysis involves a catalyst in a different phase from the reactants. It is a process where the catalyst and the reactants are in distinct phases, typically solid and gas or liquid.Most heterogeneous catalysts are metals, metal oxides, or acids. The list includes transition metals like iron (Fe), cobalt (Co), nickel (Ni), palladium (Pd), platinum (Pt), chromium (Cr), manganese (Mn), tungsten (W), silver (Ag), and copper (Cu). These metals possess partially vacant d orbitals that...

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Automatic analysis of computed catalytic cycles.

Andreas Uhe1, Sebastian Kozuch, Sason Shaik

  • 1Institut für Technische und Makromolekulare Chemie, RWTH Aachen University, Aachen, Germany. uhe@itmc.rwth-aachen.de

Journal of Computational Chemistry
|February 23, 2011
PubMed
Summary
This summary is machine-generated.

The energetic span model estimates catalytic reaction turnover frequency (TOF) by analyzing energy profiles. It refines understanding from "determining steps" to more accurate "determining states" for catalysis optimization.

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Area of Science:

  • Chemical kinetics
  • Catalysis theory
  • Computational chemistry

Background:

  • Catalytic reactions are fundamental to chemical processes.
  • Estimating reaction rates, specifically turnover frequency (TOF), is crucial for catalyst design.
  • Current models often focus on 'determining steps,' which may oversimplify rate-limiting factors.

Purpose of the Study:

  • To introduce and illustrate the energetic span model for estimating catalytic turnover frequency (TOF).
  • To demonstrate the superiority of 'determining states' over 'determining steps' in catalysis.
  • To provide guidance for experimental condition optimization based on kinetic analysis.

Main Methods:

  • Utilizing calculated energy profiles to derive reaction kinetics.
  • Applying the energetic span model to identify rate-limiting intermediates and transition states.
  • Analyzing the degree of TOF control exerted by reactant and product concentrations.

Main Results:

  • The energetic span model accurately estimates TOF from energy profiles.
  • Identification of TOF-determining intermediates and transition states offers a more precise understanding than determining steps.
  • The model provides explicit recommendations for optimizing reaction conditions, including reactant promotion and product inhibition.

Conclusions:

  • The energetic span model offers a robust framework for understanding and predicting catalytic reaction rates.
  • Shifting focus from 'determining steps' to 'determining states' enhances mechanistic insights.
  • The associated AUTOF program facilitates practical application of the model in catalysis research.