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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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 |
work_keys_str_mv |
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