Cargando…

Sorption of phenol from synthetic aqueous solution by activated saw dust: Optimizing parameters with response surface methodology

Organic pollutants have an adverse effect on the neighboring environment. Industrial activates are the major sources of different organic pollutants. These primary pollutants react with surrounding and forms secondary pollutant, which persists for a long time. The present investigation has been carr...

Descripción completa

Detalles Bibliográficos
Autores principales: Sahu, Omprakash, Rao, Dubasi Govardhana, Gabbiye, Nigus, Engidayehu, Addis, Teshale, Firomsa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613239/
https://www.ncbi.nlm.nih.gov/pubmed/28955791
http://dx.doi.org/10.1016/j.bbrep.2017.08.007
_version_ 1783266214532874240
author Sahu, Omprakash
Rao, Dubasi Govardhana
Gabbiye, Nigus
Engidayehu, Addis
Teshale, Firomsa
author_facet Sahu, Omprakash
Rao, Dubasi Govardhana
Gabbiye, Nigus
Engidayehu, Addis
Teshale, Firomsa
author_sort Sahu, Omprakash
collection PubMed
description Organic pollutants have an adverse effect on the neighboring environment. Industrial activates are the major sources of different organic pollutants. These primary pollutants react with surrounding and forms secondary pollutant, which persists for a long time. The present investigation has been carried out on the surface of activated sawdust for phenol eliminations. The process parameters initial concentration, contact time, adsorbent dose and pH were optimized by the response surface methodology (RSM). The numerical optimization of sawdust (SD), initial concentration 10 mg/l, contact time 1.5 h, adsorbent dose 4 g and pH 2, the optimum response result was 78.3% adsorption. Analysis of variance (ANOVA) was used to judge the adequacy of the central composite design and quadratic model found to be suitable. The coefficient of determination values was found to be maximum Adj R(2) 0.7223, and Pre R(2) 0.5739 and significant regression at 95% confidence level values.
format Online
Article
Text
id pubmed-5613239
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-56132392017-09-27 Sorption of phenol from synthetic aqueous solution by activated saw dust: Optimizing parameters with response surface methodology Sahu, Omprakash Rao, Dubasi Govardhana Gabbiye, Nigus Engidayehu, Addis Teshale, Firomsa Biochem Biophys Rep Research Article Organic pollutants have an adverse effect on the neighboring environment. Industrial activates are the major sources of different organic pollutants. These primary pollutants react with surrounding and forms secondary pollutant, which persists for a long time. The present investigation has been carried out on the surface of activated sawdust for phenol eliminations. The process parameters initial concentration, contact time, adsorbent dose and pH were optimized by the response surface methodology (RSM). The numerical optimization of sawdust (SD), initial concentration 10 mg/l, contact time 1.5 h, adsorbent dose 4 g and pH 2, the optimum response result was 78.3% adsorption. Analysis of variance (ANOVA) was used to judge the adequacy of the central composite design and quadratic model found to be suitable. The coefficient of determination values was found to be maximum Adj R(2) 0.7223, and Pre R(2) 0.5739 and significant regression at 95% confidence level values. Elsevier 2017-08-24 /pmc/articles/PMC5613239/ /pubmed/28955791 http://dx.doi.org/10.1016/j.bbrep.2017.08.007 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Sahu, Omprakash
Rao, Dubasi Govardhana
Gabbiye, Nigus
Engidayehu, Addis
Teshale, Firomsa
Sorption of phenol from synthetic aqueous solution by activated saw dust: Optimizing parameters with response surface methodology
title Sorption of phenol from synthetic aqueous solution by activated saw dust: Optimizing parameters with response surface methodology
title_full Sorption of phenol from synthetic aqueous solution by activated saw dust: Optimizing parameters with response surface methodology
title_fullStr Sorption of phenol from synthetic aqueous solution by activated saw dust: Optimizing parameters with response surface methodology
title_full_unstemmed Sorption of phenol from synthetic aqueous solution by activated saw dust: Optimizing parameters with response surface methodology
title_short Sorption of phenol from synthetic aqueous solution by activated saw dust: Optimizing parameters with response surface methodology
title_sort sorption of phenol from synthetic aqueous solution by activated saw dust: optimizing parameters with response surface methodology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613239/
https://www.ncbi.nlm.nih.gov/pubmed/28955791
http://dx.doi.org/10.1016/j.bbrep.2017.08.007
work_keys_str_mv AT sahuomprakash sorptionofphenolfromsyntheticaqueoussolutionbyactivatedsawdustoptimizingparameterswithresponsesurfacemethodology
AT raodubasigovardhana sorptionofphenolfromsyntheticaqueoussolutionbyactivatedsawdustoptimizingparameterswithresponsesurfacemethodology
AT gabbiyenigus sorptionofphenolfromsyntheticaqueoussolutionbyactivatedsawdustoptimizingparameterswithresponsesurfacemethodology
AT engidayehuaddis sorptionofphenolfromsyntheticaqueoussolutionbyactivatedsawdustoptimizingparameterswithresponsesurfacemethodology
AT teshalefiromsa sorptionofphenolfromsyntheticaqueoussolutionbyactivatedsawdustoptimizingparameterswithresponsesurfacemethodology