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Updated: Sep 14, 2025

Study of Short Peptide Adsorption on Solution Dispersed Inorganic Nanoparticles Using Depletion Method
Published on: April 11, 2020
Adsorption Kinetics: Classical, Fractal, or Fractional?
Evangelos Bakalis1, Francesco Zerbetto1
1Dipartimento di Chimica "G. Ciamician", Università di Bologna, V. P. Gobetti 85, 40129 Bologna, Italy.
This study introduces fractional calculus to model adsorption kinetics, offering a new framework beyond classical and fractal models. This approach captures memory effects, providing a more nuanced understanding of adsorption processes.
Area of Science:
- Chemical Engineering
- Physical Chemistry
- Materials Science
Background:
- Adsorption kinetics are often described by pseudo-order models based on concentration-dependent rates.
- Classical and fractal models have limitations in describing adsorption kinetics under non-ideal conditions.
Purpose of the Study:
- To introduce fractional calculus for modeling adsorption kinetics.
- To present solutions for pseudo-first-order fractional kinetics and recursive relations for higher orders.
- To discuss the application of these fractional models in adsorption processes.
Main Methods:
- Phenomenological pseudo-order models were reviewed.
- Fractional calculus was applied to adsorption kinetics, introducing fractional-order derivatives.
- Analytical and numerical methods were used to derive and present model solutions.
Main Results:
- Fractional modeling captures memory effects absent in fractal models.
- Detailed expressions for pseudo-first-order fractional kinetics were derived.
- Recursive relations for higher-order fractional kinetics amenable to numerical treatment were provided.
Conclusions:
- Fractional calculus offers a powerful framework for describing adsorption kinetics, especially when memory effects are present.
- The proposed fractional models provide a more comprehensive understanding of adsorption processes compared to classical and fractal approaches.
- This work opens new avenues for research in adsorption science and engineering.
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