“Rice polish” for the removal of arsenic from aqueous solution / S. H. Hasan in Industrial & engineering chemistry research, Vol. 48 N° 9 (Mai 2009)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 48 N° 9 (Mai 2009) . - pp. 4194–4201 Titre : “Rice polish” for the removal of arsenic from aqueous solution : optimization of process variables Type de document : texte imprimé Auteurs : S. H. Hasan, Auteur ; D. Ranjan, Auteur ; M. Talat, Auteur Année de publication : 2009 Article en page(s) : pp. 4194–4201 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Rice polish Aqueous solution Box−  Behnken Design Polynomial regression model Résumé : Rice polish, a waste from the rice milling industry, was utilized as a potential biosorbent for removal of arsenic from aqueous solution. Optimization of process variables (pH, initial metal concentration, and temperature) and their cumulative effect were investigated using Box−Behnken Design (BBD) with only 15 sets of experimental runs. A second-order polynomial regression model was used, and results predicted showed high value of regression coefficients (R2, i.e., 95.69% for As(III) and 98.42% for As(V)) indicating good agreement with experimental data. The main effect plot showed uptake of arsenic having a curved relationship with pH, initial metal ion concentration having a positive effect, and temperature having a negative effect. The maximum removal of As(III) (41.18 μg/g) and As(V) (49 μg/g) predicted by contour and optimization plot was achieved at pH 6.84 and 4.29, respectively, at an initial metal ion concentration of 1000 μg/L, temperature 20 °C, and biomass dose of 1 g/50 mL. Scanning electron microscopy (SEM) analysis was carried out to find out the changes on the biosorbent surface during the sorption process. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801822d [article] “Rice polish” for the removal of arsenic from aqueous solution : optimization of process variables [texte imprimé] / S. H. Hasan, Auteur ; D. Ranjan, Auteur ; M. Talat, Auteur . - 2009 . - pp. 4194–4201. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 9 (Mai 2009) . - pp. 4194–4201 Mots-clés : Rice polish Aqueous solution Box−  Behnken Design Polynomial regression model Résumé : Rice polish, a waste from the rice milling industry, was utilized as a potential biosorbent for removal of arsenic from aqueous solution. Optimization of process variables (pH, initial metal concentration, and temperature) and their cumulative effect were investigated using Box−Behnken Design (BBD) with only 15 sets of experimental runs. A second-order polynomial regression model was used, and results predicted showed high value of regression coefficients (R2, i.e., 95.69% for As(III) and 98.42% for As(V)) indicating good agreement with experimental data. The main effect plot showed uptake of arsenic having a curved relationship with pH, initial metal ion concentration having a positive effect, and temperature having a negative effect. The maximum removal of As(III) (41.18 μg/g) and As(V) (49 μg/g) predicted by contour and optimization plot was achieved at pH 6.84 and 4.29, respectively, at an initial metal ion concentration of 1000 μg/L, temperature 20 °C, and biomass dose of 1 g/50 mL. Scanning electron microscopy (SEM) analysis was carried out to find out the changes on the biosorbent surface during the sorption process. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801822d

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