Adsorption of human immunoglobulin G in hydrophobic interaction ligands: evaluation of equilibria data by artificial neural networks

• Grant number: 20/06797-1
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: October 01, 2020
• End date: September 30, 2021
• Field of knowledge: Engineering - Chemical Engineering - Industrial Operations and Equipment for Chemical Engineering
• Principal Investigator: Iara Rocha Antunes Pereira Bresolin
• Grantee: Caroline Akina Shinku
• Host Institution: Instituto de Ciências Ambientais, Químicas e Farmacêuticas (ICAQF). Universidade Federal de São Paulo (UNIFESP). Campus Diadema. Diadema , SP, Brazil

Abstract

Human immunoglobulin G (IgG) is an antibody used in several therapeutic indications, where several of them need the antibody free of aggregates, in order to reduce its side effect. As high concentrations and purity are required, techniques based on hydrophobic interaction are recommended as a polishing step in the antibody recovery and purification process. Thus, this scientific initiation work aims to evaluate the adsorption of human IgG in hydrophobic interaction adsorbents (Phenyl Sepharose 6 Fast Flow High Sub and Phenyl Sepharose 6 Fast Flow Low Sub). The adsorption will be evaluated in different experimental conditions, varying the concentration of ammonium sulfate between 0.5 and 1.0 mol / L and the temperature between 4º and 37º C. The modeling of the adsorption data will be done using artificial neural networks and compared with classical nonlinear methods applied to the Langmuir, Langmuir-Freundlich and Temkin models. In this way, it will be possible to obtain the necessary data to define the optimum condition of the adsorption process, aiming at improving the technique to be applied later in the recovery and purification of human IgG in an ultra-pure and aggregate-free degree.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

SHINKU, CAROLINE A.; MARTINS, TIAGO D.; BRESOLIN, IGOR T. L.; BRESOLIN, IARA R. A. P.. Human immunoglobulin G adsorption in hydrophobic ligands: equilibrium data, isotherm modelling and prediction using artificial neural networks. CHEMICAL PAPERS, v. 77, n. 2, p. 17-pg., 2022-10-26. (20/06797-1)