Recurrent neural network modeling applied to expanded bed adsorption chromatography of chitosanases produced by Paenibacillus ehimensis
| dc.contributor.author | Souza, Domingos Fabiano de Santana | |
| dc.contributor.author | Padilha, Carlos Eduardo de Araújo | |
| dc.contributor.author | Padilha, Carlos Alberto de Araújo | |
| dc.contributor.author | Oliveira, Jackson Araújo de | |
| dc.contributor.author | Macedo, Gorete Ribeiro de | |
| dc.contributor.author | Santos, Everaldo Silvino dos | |
| dc.date.accessioned | 2021-12-06T18:18:18Z | |
| dc.date.available | 2021-12-06T18:18:18Z | |
| dc.date.issued | 2017-01 | |
| dc.description.resumo | 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 | pt_BR |
| dc.identifier.citation | PADILHA, Carlos Eduardo de Araújo; PADILHA, Carlos Alberto de Araújo; SOUZA, Domingos Fabiano de Santana; OLIVEIRA, Jackson Araújo de; MACEDO, Gorete Ribeiro de; SANTOS, Everaldo Silvino dos. Recurrent neural network modeling applied to expanded bed adsorption chromatography of chitosanases produced by Paenibacillus ehimensis. Chemical Engineering Research And Design, [S.L.], v. 117, p. 24-33, jan. 2017. Elsevier BV. http://dx.doi.org/10.1016/j.cherd.2016.09.022. Disponível em: https://www.sciencedirect.com/science/article/pii/S0263876216303070?via%3Dihub. Acesso em: 05 nov. 2021. | pt_BR |
| dc.identifier.doi | 10.1016/j.cherd.2016.09.022 | |
| dc.identifier.issn | 0263-8762 | |
| dc.identifier.uri | https://repositorio.ufrn.br/handle/123456789/45192 | |
| dc.language | en | pt_BR |
| dc.publisher | Elsevier | pt_BR |
| dc.subject | Adsorption | pt_BR |
| dc.subject | Downstream processing | pt_BR |
| dc.subject | Enzyme activity | pt_BR |
| dc.subject | Chitosanases | pt_BR |
| dc.subject | Modeling | pt_BR |
| dc.subject | NARX | pt_BR |
| dc.title | Recurrent neural network modeling applied to expanded bed adsorption chromatography of chitosanases produced by Paenibacillus ehimensis | pt_BR |
| dc.type | article | pt_BR |
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