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...

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Main Authors: Omprakash Sahu, Dubasi Govardhana Rao, Nigus Gabbiye, Addis Engidayehu, Firomsa Teshale
Format: Article
Language:English
Published: Elsevier 2017-12-01
Series:Biochemistry and Biophysics Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405580816303582
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spelling doaj-3a914efa0b7f4954b7f432b84631d6fa2020-11-25T00:53:03ZengElsevierBiochemistry and Biophysics Reports2405-58082017-12-0112C465310.1016/j.bbrep.2017.08.007Sorption of phenol from synthetic aqueous solution by activated saw dust: Optimizing parameters with response surface methodologyOmprakash Sahu0Dubasi Govardhana Rao1Nigus Gabbiye2Addis Engidayehu3Firomsa Teshale4School of Chemical and Food Technology, Bahir Dar Institute of Technology, BDU, EthiopiaSchool of Chemical and Food Technology, Bahir Dar Institute of Technology, BDU, EthiopiaSchool of Chemical and Food Technology, Bahir Dar Institute of Technology, BDU, EthiopiaSchool of Chemical and Food Technology, Bahir Dar Institute of Technology, BDU, EthiopiaSchool of Chemical and Bio-Engineering, Addis Ababa Institute of Technology, Addis Ababa, EthiopiaOrganic 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 R2 0.7223, and Pre R2 0.5739 and significant regression at 95% confidence level values.http://www.sciencedirect.com/science/article/pii/S2405580816303582AdsorptionBio-waste materialPhenolSaw dustWastewater treatment
collection DOAJ
language English
format Article
sources DOAJ
author Omprakash Sahu
Dubasi Govardhana Rao
Nigus Gabbiye
Addis Engidayehu
Firomsa Teshale
spellingShingle Omprakash Sahu
Dubasi Govardhana Rao
Nigus Gabbiye
Addis Engidayehu
Firomsa Teshale
Sorption of phenol from synthetic aqueous solution by activated saw dust: Optimizing parameters with response surface methodology
Biochemistry and Biophysics Reports
Adsorption
Bio-waste material
Phenol
Saw dust
Wastewater treatment
author_facet Omprakash Sahu
Dubasi Govardhana Rao
Nigus Gabbiye
Addis Engidayehu
Firomsa Teshale
author_sort Omprakash Sahu
title 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_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_sort sorption of phenol from synthetic aqueous solution by activated saw dust: optimizing parameters with response surface methodology
publisher Elsevier
series Biochemistry and Biophysics Reports
issn 2405-5808
publishDate 2017-12-01
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 R2 0.7223, and Pre R2 0.5739 and significant regression at 95% confidence level values.
topic Adsorption
Bio-waste material
Phenol
Saw dust
Wastewater treatment
url http://www.sciencedirect.com/science/article/pii/S2405580816303582
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