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Détail de l'auteur
Auteur Eldon R. Rene
Documents disponibles écrits par cet auteur
Affiner la recherchePerformance evaluation and neural modeling of gas-phase styrene removal in one- and two-liquid phase suspended-growth bioreactors / Eldon R. Rene in Industrial & engineering chemistry research, Vol. 50 N° 10 (Mai 2011)
[article]
in Industrial & engineering chemistry research > Vol. 50 N° 10 (Mai 2011) . - pp. 6485–6495
Titre : Performance evaluation and neural modeling of gas-phase styrene removal in one- and two-liquid phase suspended-growth bioreactors Type de document : texte imprimé Auteurs : Eldon R. Rene, Auteur ; Maria C. Veiga, Auteur ; Christian Kennes, Auteur Année de publication : 2011 Article en page(s) : pp. 6485–6495 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Bioreactors Résumé : The removal of gas-phase styrene was studied in both one- and two-liquid phase continuous stirred tank bioreactors (CSTBs) inoculated with Sporothrix variecibatus. Experiments were carried out at different gas residence times and inlet styrene concentrations to reach inlet loading rates varying between 10 and 838 g m−3 h−1 in the bioreactors. The addition of 10% (v/v) silicone oil acted as a buffer for high styrene loads and improved the two-liquid phase CSTB performance 3.1-fold in comparison to the one-liquid phase CSTB, with maximum elimination capacities of 426 and 137 g m−3 h−1, respectively. The CSTBs performance was modeled using artificial neural networks (ANNs) with inlet concentration (g m−3) and unit flow (h−1) as the input variables. The best network topology, selected by a trial and error approach and by estimating the determination coefficient (R2) values, was found to be 2−5−1 and 2−6−1, respectively, for the one- and two-liquid phase CSTB. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie102523j [article] Performance evaluation and neural modeling of gas-phase styrene removal in one- and two-liquid phase suspended-growth bioreactors [texte imprimé] / Eldon R. Rene, Auteur ; Maria C. Veiga, Auteur ; Christian Kennes, Auteur . - 2011 . - pp. 6485–6495.
Chimie industrielle
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 50 N° 10 (Mai 2011) . - pp. 6485–6495
Mots-clés : Bioreactors Résumé : The removal of gas-phase styrene was studied in both one- and two-liquid phase continuous stirred tank bioreactors (CSTBs) inoculated with Sporothrix variecibatus. Experiments were carried out at different gas residence times and inlet styrene concentrations to reach inlet loading rates varying between 10 and 838 g m−3 h−1 in the bioreactors. The addition of 10% (v/v) silicone oil acted as a buffer for high styrene loads and improved the two-liquid phase CSTB performance 3.1-fold in comparison to the one-liquid phase CSTB, with maximum elimination capacities of 426 and 137 g m−3 h−1, respectively. The CSTBs performance was modeled using artificial neural networks (ANNs) with inlet concentration (g m−3) and unit flow (h−1) as the input variables. The best network topology, selected by a trial and error approach and by estimating the determination coefficient (R2) values, was found to be 2−5−1 and 2−6−1, respectively, for the one- and two-liquid phase CSTB. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie102523j