Interaction of human immunoglobulin g onto epoxy chitosan/alginate adsorbents study: evaluation of adsorption isotherms by artificial neural networks

Abstract

Human immunoglobulin G (IgG) in an antibody used for several therapeutic indications. As high concentration and purity are required, selective adsorption techniques are recommended for recovery and purification purposes. Thus, this undergraduate research project aims to evaluate human IgG adsorption onto non-conventional adsorbents synthetized of chitosan and alginate with and without immobilized dyes as ligands (Reactive Green, Reactive Blue and Cibacron Blue). The adsorption will be evaluated under different experimental conditions, by varying the pH between 6.0 and 8.5 and the temperature between 4 and 37o C. The adsorption data modelling will be performed by using artificial neural networks and compared to classic non-linear methods for Langmuir, Langmuir-Freundlich and Temkin parameters adjusting. Thus, it will possible to obtain the necessary data to define the optimum adsorption condition aiming to improve the use of this technique in downstream processing of human IgG. (AU)