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Related Concept Videos

Activation Energy01:26

Activation Energy

Activation energy is the minimum amount of energy necessary for a chemical reaction to move forward. The higher the activation energy, the slower the rate of the reaction. However, adding heat to the reaction will increase the rate, since it causes molecules to move faster and increase the likelihood that molecules will collide. The collision and breaking of bonds represents the uphill phase of a reaction and generates the transition state. The transition state is an unstable high-energy state...
Arrhenius Plots02:34

Arrhenius Plots

The Arrhenius equation relates the activation energy and the rate constant, k, for chemical reactions. In the Arrhenius equation, k = Ae−Ea/RT, R is the ideal gas constant, which has a value of 8.314 J/mol·K, T is the temperature on the kelvin scale, Ea is the activation energy in J/mole, e is the constant 2.7183, and A is a constant called the frequency factor, which is related to the frequency of collisions and the orientation of the reacting molecules.
The Arrhenius equation can be used to...
Enzymes and Activation Energy01:13

Enzymes and Activation Energy

The activation energy (or free energy of activation), abbreviated as Ea, is the small amount of energy input necessary for all chemical reactions to occur. During chemical reactions, certain chemical bonds break, and new ones form. For example, when a glucose molecule breaks down, bonds between the molecule's carbon atoms break. Since these are energy-storing bonds, they release energy when broken. However, the molecule must be somewhat contorted to get into a state that allows the bonds to...
Enzymes and Activation Energy01:13

Enzymes and Activation Energy

The activation energy (or free energy of activation), abbreviated as Ea, is the small amount of energy input necessary for all chemical reactions to occur. During chemical reactions, certain chemical bonds break, and new ones form. For example, when a glucose molecule breaks down, bonds between the molecule's carbon atoms break. Since these are energy-storing bonds, they release energy when broken. However, the molecule must be somewhat contorted to get into a state that allows the bonds to...
Transition State Theory01:25

Transition State Theory

Transition-state theory, also known as activated-complex theory, provides a molecular-level explanation of reaction rates in both gas-phase and solution-phase reactions. It extends earlier kinetic models by considering the formation of a short-lived, high-energy configuration during a reaction.The progress of a chemical reaction can be represented using a reaction profile, which plots potential energy against the reaction coordinate. As two reactant molecules approach one another, their...
Bond Dissociation Energy and Activation Energy02:13

Bond Dissociation Energy and Activation Energy

Bond energy is the energy required to break a bond homolytically. These values are usually expressed in units of kcal/mol or kJ/mol and are referred to as bond dissociation energies when given for specific bonds or average bond energies when indicated for a given type of bond over many compounds. Firstly, the bond dissociation energy for a single bond is weaker than that of a double bond, which in turn is weaker than that of a triple bond. Secondly, hydrogen forms relatively strong bonds with...

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Related Experiment Video

Updated: Jun 6, 2026

Towards Biomimicking Wood: Fabricated Free-standing Films of Nanocellulose, Lignin, and a Synthetic Polycation
11:26

Towards Biomimicking Wood: Fabricated Free-standing Films of Nanocellulose, Lignin, and a Synthetic Polycation

Published on: June 17, 2014

Logistic distributed activation energy model--part 2: application to cellulose pyrolysis.

Junmeng Cai1, Songyuan Yang, Tao Li

  • 1School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, PR China. jmcai@sjtu.edu.cn

Bioresource Technology
|December 8, 2010
PubMed
Summary

This study details cellulose pyrolysis kinetics using thermogravimetric analysis (TGA). A logistic distributed activation energy model accurately predicts cellulose decomposition behavior.

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High-throughput Screening of Recalcitrance Variations in Lignocellulosic Biomass: Total Lignin, Lignin Monomers, and Enzymatic Sugar Release
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High-throughput Screening of Recalcitrance Variations in Lignocellulosic Biomass: Total Lignin, Lignin Monomers, and Enzymatic Sugar Release

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High-throughput Screening of Recalcitrance Variations in Lignocellulosic Biomass: Total Lignin, Lignin Monomers, and Enzymatic Sugar Release
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High-throughput Screening of Recalcitrance Variations in Lignocellulosic Biomass: Total Lignin, Lignin Monomers, and Enzymatic Sugar Release

Published on: September 15, 2015

Area of Science:

  • Biomass conversion
  • Thermochemical processing
  • Chemical kinetics

Background:

  • Cellulose pyrolysis is crucial for biomass energy conversion.
  • Understanding cellulose pyrolysis kinetics is essential for optimizing thermochemical processes.
  • Accurate kinetic models are needed to predict and control cellulose decomposition.

Purpose of the Study:

  • To investigate the pyrolysis behavior of cellulose.
  • To develop and validate a kinetic model for cellulose pyrolysis.
  • To determine key kinetic parameters for cellulose decomposition.

Main Methods:

  • Utilized thermogravimetric analysis (TGA) for non-isothermal pyrolysis experiments.
  • Analyzed TGA data at various heating rates simultaneously.
  • Employed the Pattern Search Method for model parameter estimation.

Main Results:

  • The logistic distributed activation energy model accurately described cellulose pyrolysis kinetics.
  • Key parameters determined: mean activation energy (258.57 kJ/mol), standard deviation (2.66 kJ/mol), reaction order (1.11), and pre-exponential factor (1.62 x 10^17 s^-1).
  • Model predictions showed excellent agreement with experimental TGA data.

Conclusions:

  • The logistic distributed activation energy model provides a robust framework for understanding cellulose pyrolysis.
  • Accurate kinetic parameters were obtained, facilitating process optimization.
  • This research contributes to the efficient conversion of cellulose biomass into valuable products.