Single and competitive dye adsorption onto chitosan-based hybrid hydrogels using artificial neural network modeling.

Pauletto, P S; Gonçalves, J O; Pinto, L A A; Dotto, G L; Salau, N P G

Pauletto, P S; Gonçalves, J O; Pinto, L A A; Dotto, G L; Salau, N P G.

Afiliación

Pauletto PS; Chemical Engineering Department, Federal University of Santa Maria-UFSM, 1000, Roraima Avenue, 97105-900 Santa Maria, RS, Brazil. Electronic address: paola.pauletto@outlook.com.
Gonçalves JO; School of Chemistry and Food, Federal University of Rio Grande-FURG, Km 8, Itália Avenue, 96203-900 Rio Grande, RS, Brazil. Electronic address: janaina_sde@hotmail.com.
Pinto LAA; School of Chemistry and Food, Federal University of Rio Grande-FURG, Km 8, Itália Avenue, 96203-900 Rio Grande, RS, Brazil. Electronic address: dqmpinto@furg.com.
Dotto GL; Chemical Engineering Department, Federal University of Santa Maria-UFSM, 1000, Roraima Avenue, 97105-900 Santa Maria, RS, Brazil. Electronic address: guilherme_dotto@yahoo.com.br.
Salau NPG; Chemical Engineering Department, Federal University of Santa Maria-UFSM, 1000, Roraima Avenue, 97105-900 Santa Maria, RS, Brazil. Electronic address: ninasalau@ufsm.br.

J Colloid Interface Sci ; 560: 722-729, 2020 Feb 15.

Article en En | MEDLINE | ID: mdl-31706654

Asunto(s)

Compuestos Azo/química; Bencenosulfonatos/química; Quitosano/química; Colorantes/química; Hidrogeles/química; Nanotubos de Carbono/química; Redes Neurales de la Computación; Adsorción; Unión Competitiva; Carbón Orgánico/química

Palabras clave

Artificial neural network; Binary system; Chitosan; Competitive adsorption; Hydrogel

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Compuestos Azo / Bencenosulfonatos / Redes Neurales de la Computación / Hidrogeles / Nanotubos de Carbono / Quitosano / Colorantes Tipo de estudio: Prognostic_studies Idioma: En Revista: J Colloid Interface Sci Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos

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