Fractal kinetics versus fractional derivative kinetics

TL;DR

This paper compares fractal and fractional derivative kinetic models for pollutant sorption in porous materials, concluding that the Brouers-Sotolongo model is simpler and equally effective, with added insights into sorption dynamics.

Contribution

It demonstrates the practical advantages of the Brouers-Sotolongo model over fractional kinetics and introduces a generalized form with a time-dependent fractal exponent.

Findings

Both models produce similar results in fitting data.

The Brouers-Sotolongo model is easier to use and interpret.

A generalized model with a time-dependent exponent improves data fitting.

Abstract

This study presents a detailed comparison of the two most popular fractal theories used in the field of kinetics sorption of pollutants in porous materials: the Brouers-Sotolongo model family of kinetics based on the BurrXII statistical distribution and the fractional kinetics based on the Riemann-Liouville fractional derivative theory. Using the experimental kinetics data of several studies published recently, it can be concluded that, although these two models both yield very similar results, the Brouers-Sotolongo model is easier to use due to its simpler formal expression and because it enjoys all the properties of a well-known family of distribution functions. We use the opportunity of this study to comment on the information, in particular, the sorption strength, the half-life time, and the time dependent rate, which can be drawn from a complete analysis of measured kinetics using a fractal model. This is of importance to characterize and classify sorbent-sorbate couples for practical applications. Finally, a generalization form of the Brouers-Sotolongo equation is presented by introducing a time dependent fractal exponent. This improvement, which has a physical meaning, is necessary in some cases to obtain a good fit of the experimental data.