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Licensed Unlicensed Requires Authentication Published by De Gruyter July 6, 2019

Human Immunoglobulin G Adsorption in Epoxy Chitosan/Alginate Adsorbents: Evaluation of Isotherms by Artificial Neural Networks

Ana Carolina Moreno Pássaro, Tainá Maia Mozetic, Jones Erni Schmitz ORCID logo, Ivanildo José da Silva, Tiago Dias Martins ORCID logo and Igor Tadeu Lazzarotto Bresolin ORCID logo


This work aimed to evaluate the interaction of human IgG in non-conventional adsorbents based on chitosan and alginate in the absence and presence of Reactive Green, Reactive Blue and Cibacron Blue immobilized as ligands. The adsorption was evaluated at 277, 288, 298 and 310 K using sodium phosphate buffer, pH 7.6, at 25 mmol L−1. The highest adsorption capacity was observed in the experiments performed with no immobilized dye, although all showed adsorption capacity higher than 120 mg g−1. Data modeling was done using Langmuir, Langmuir-Freundlich and Temkin classical nonlinear models, and artificial neural networks (ANN) for comparison. According to the parameters obtained, a possible adsorption in multilayers was observed due to protein-adsorbent and protein-protein interactions, concluding that IgG adsorption process is favorable and spontaneous. Using an ANN structure with 3 hidden neurons (single hidden layer), the MSE (RMSE) for training, test and validation were 13.698 (3.701), 11.206 (3.347) and 7.632 (2.763), respectively, achieving correlation coefficients of 0.999 in all steps. ANN modeling proved to be effective in predicting the adsorption isotherms in addition to overcoming the difficulties caused by experimental errors and/or arising from adsorption phenomenology.


The authors acknowledge the financial support from Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP, Brazil) by means of Grants 2014/23893-3 (ITL Bresolin) and 2016/18005-7 (ACM Pássaro), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, Brazil) by means of Grants 476726/2011-5 (ITL Bresolin) and 479942/2013-7 (IJ da Silva Jr) and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES, Brazil) by Finance Code 001.

  1. Conflict of interest: The authors declare no financial or commercial conflict of interest.


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Received: 2019-05-08
Revised: 2019-06-09
Accepted: 2019-06-10
Published Online: 2019-07-06

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