Biosorption Parameter Estimation with Genetic Algorithm

Abstract

Abstract:In biosorption research, a fairly broad range of mathematical models are used to correlate discrete data points obtained from batch equilibrium, batch kinetic or fixed bed breakthrough experiments. Most of these models are inherently nonlinear in their parameters. Some of the models have enjoyed widespread use, largely because they can be linearized to allow the estimation of parameters by least-squares linear regression. Selecting a model for data correlation appears to be dictated by the ease with which it can be linearized and not by other more important criteria such as parameter accuracy or theoretical relevance. As a result, models that cannot be linearized have enjoyed far less recognition because it is necessary to use a search algorithm for parameter estimation. In this study a real-coded genetic algorithm is applied as the search method to estimate equilibrium isotherm and kinetic parameters for batch biosorption as well as breakthrough parameters for fixed bed biosorption. The genetic algorithm is found to be a useful optimization tool, capable of accurately finding optimal parameter estimates. Its performance is compared with that of nonlinear and linear regression methods.

Adsorption Isotherm, Kinetic and Thermodynamic Modelling of <i>Bacillus subtilis</i> ATCC13952 Mediated Adsorption of Arsenic in Groundwaters of Selected Gold Mining Communities in the Wassa West Municipality of the Western Region of Ghana

“…The Temkin constant K τ (Table 13) which is the maximum binding energy of arsenic (III) to Bacillus subtilis ATCC13952 [61] [62] [63] was estimated to be 2982.29 L/g. The large binding energy implies that Bacillus subtilis ATCC13952 have substantial affinity for the arsenic (III).…”

Arsenic Removal from Aqueous Solution Using Pure and Metal‐Doped Titania Nanoparticles Coated on Glass Beads: Adsorption and Column Studies

“…The kinetic data for this system is shown in Figure 8. The Lagergren rate equation [61] is given as follows:…”

Numerical Simulation of CO2 Adsorption on K-Based Sorbent

“…Great effort has been spent in developing a reasonable model that can accomplish the numerical simulation of the dynamics of the adsorption process accurately. , Gutiérrez Ortiz and Aguilera compare two modeling approaches to the dynamic behavior of a fixed bed for biogas desulfurization and investigate the importance of axial dispersion. , Many works are focused on modeling adsorption on the common adsorbent such as activated carbon. − Very few investigations about modeling of alkali metal sorbent adsorption have been performed. As a result, in the work presented here, the equilibrium model is established for adsorption of CO 2 on the K 2 CO 3 /MgO/Al 2 O 3 sorbent with different adsorption models, such as those of Freundlich and Langmuir.…”

“…Great effort has been spent in developing a reasonable model that can accomplish the numerical simulation of the dynamics of the adsorption process accurately. 40,41 Gutieŕrez Ortiz and Aguilera compare two modeling approaches to the dynamic behavior of a fixed bed for biogas desulfurization and investigate the importance of axial dispersion. 42,43 Many works are focused on modeling adsorption on the common adsorbent such as activated carbon.…”