Data/hora: 20/05/2024 05:29:58

Provedor de dados: 	52	
País: 	Brazil	
Título: 	Neural modeling of bromelain extraction by reversed micelles	
Autores: 	Fileti,Ana Maria Frattini; Fischer,Gilvan Anderson; Tambourgi,Elias Basile.	
Data: 	2010-04-01	
Ano: 	2010	
Palavras-chave: 	Bromelain; Reversed micelles; Extraction; Neural networks; Pineapple.	
Resumo: 	A pulsed-cap microcolumn was used for bromelain extraction from pineapple juice by reversed micelles. The cationic micellar solution used BDBAC as the surfactant, isooctane as the solvent and hexanol as the co-solvent. In order to capture the dynamic behavior and the nonlinearities of the column, the operating conditions were modified in accordance with the central composite design for the experiment, using the ratio between the light phase flow rate and the total flow rate, and the time interval between pulses. The effects on the purification factor and on total protein yield were modeled via neural networks. The best topology was defined as 16-9-2, and the input layer was a moving window of the independent variables. The neural model successfully predicted both the purification factor and the total protein yield from historical data. At the optimal operating point, a purification factor of 4.96 and a productivity of 1.29 mL/min were obtained.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132010000200026	
Editor: 	Instituto de Tecnologia do Paraná - Tecpar	
Relação: 	10.1590/S1516-89132010000200026	
Formato: 	text/html	
Fonte: 	Brazilian Archives of Biology and Technology  v.53 n.2 2010	
Fonte: 	info:eu-repo/semantics/openAccess