Recurrent neural network modeling applied to expanded bed adsorption chromatography of chitosanases produced by Paenibacillus ehimensis
| Author | Souza, Domingos Fabiano de Santana; Padilha, Carlos Eduardo de Araújo; Padilha, Carlos Alberto de Araújo; Oliveira, Jackson Araújo de; Macedo, Gorete Ribeiro de; Santos, Everaldo Silvino dos | |
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| Publisher | Elsevier | |
| Date | 2017-01 | |
| Keywords | Adsorption Downstream processing Enzyme activity Chitosanases Modeling NARX | |
| Citation | ||
| Abstract | Nonlinear autoregressive networks with external input (NARX) and multilayer perceptron (MLP) has been used to predict the activity and protein content for flow-through, washing and elution steps during expanded bed adsorption chromatography of chitosanases produced by Paenibacillus ehimensis. Bed expansion as well as the influence of particulatecontaining feedstock study showed a stable bed operation without significant impact on the yield as well as purification factor when the cells were fed to the column. Also, NARXs showed a better performance to predict the chitosanolytic activity as well as total protein than MLPs | |
| URI | https://repositorio.ufrn.br/handle/123456789/45192 | |
| Collections | CT - DEQ - Artigos publicados em periódicos |
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