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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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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 |
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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 |
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