Optimization of chromium(VI) biosorption using gooseberry seeds by response surface methodology
The current investigation presents the role of gooseberry (Phyllanthus acidus) seeds as an effective biosorbent for remediating chromium (VI)), a toxic heavy metal pollutant commonly found in effluents from tanneries and relevant industries. Biosorption was affected by pH, temperature and initial me...
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doaj-a9ec48f79dc045ceb346515a2f11a7c32021-02-02T02:44:40ZengGJESM PublisherGlobal Journal of Environmental Science and Management2383-35722383-38662016-01-0121616810.7508/gjesm.2016.01.00714835Optimization of chromium(VI) biosorption using gooseberry seeds by response surface methodologyJ. Aravind0P. Kanmani1G. Sudha2R. Balan3Department of Biotechnology, Kumaraguru College of Technology, Chinnavedampatti, Saravanampatty, Coimbatore, Tamilnadu 641 049, IndiaDepartment of Biotechnology, Kumaraguru College of Technology, Chinnavedampatti, Saravanampatty, Coimbatore, Tamilnadu 641 049, IndiaDepartment of Biotechnology, Kumaraguru College of Technology, Chinnavedampatti, Saravanampatty, Coimbatore, Tamilnadu 641 049, IndiaDepartment of Biotechnology, Kumaraguru College of Technology, Chinnavedampatti, Saravanampatty, Coimbatore, Tamilnadu 641 049, IndiaThe current investigation presents the role of gooseberry (Phyllanthus acidus) seeds as an effective biosorbent for remediating chromium (VI)), a toxic heavy metal pollutant commonly found in effluents from tanneries and relevant industries. Biosorption was affected by pH, temperature and initial metal concentration. Furthermore, there is a need to understand the holistic effect of all variables to ascertain the best possible conditions for adsorption, therefore, these factors were considered and a total of 17 trials were run according to the Box Behnken design. Quadratic model had maximum R2 value (0.9984) and larger F value (1109.92). From the Analysis Of Variance table and R2 value, quadratic model was predicted to be the significant model with the best fit to the generated experimental data. The optimal parameters obtained from the contour plot for the maximum removal of chromium(VI) were initial metal concentration of 60 mg/L, pH value of 2, and temperature of 27°C. Under these conditions, maximum removal of 92% was obtained. Thus this biosorbent substantially eliminates chromium(VI) under optimized conditions, enabling its use in larger scale.http://www.gjesm.net/pdf_14835_4ca7f5af8a15d837c9b4e13700ae6030.htmlAnalysis Of Variance (ANOVA)BiosorbentBox Behnken designChromium(VI)Gooseberry seedOptimal |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
J. Aravind P. Kanmani G. Sudha R. Balan |
spellingShingle |
J. Aravind P. Kanmani G. Sudha R. Balan Optimization of chromium(VI) biosorption using gooseberry seeds by response surface methodology Global Journal of Environmental Science and Management Analysis Of Variance (ANOVA) Biosorbent Box Behnken design Chromium(VI) Gooseberry seed Optimal |
author_facet |
J. Aravind P. Kanmani G. Sudha R. Balan |
author_sort |
J. Aravind |
title |
Optimization of chromium(VI) biosorption using gooseberry seeds by response surface methodology |
title_short |
Optimization of chromium(VI) biosorption using gooseberry seeds by response surface methodology |
title_full |
Optimization of chromium(VI) biosorption using gooseberry seeds by response surface methodology |
title_fullStr |
Optimization of chromium(VI) biosorption using gooseberry seeds by response surface methodology |
title_full_unstemmed |
Optimization of chromium(VI) biosorption using gooseberry seeds by response surface methodology |
title_sort |
optimization of chromium(vi) biosorption using gooseberry seeds by response surface methodology |
publisher |
GJESM Publisher |
series |
Global Journal of Environmental Science and Management |
issn |
2383-3572 2383-3866 |
publishDate |
2016-01-01 |
description |
The current investigation presents the role of gooseberry (Phyllanthus acidus) seeds as an effective biosorbent for remediating chromium (VI)), a toxic heavy metal pollutant commonly found in effluents from tanneries and relevant industries. Biosorption was affected by pH, temperature and initial metal concentration. Furthermore, there is a need to understand the holistic effect of all variables to ascertain the best possible conditions for adsorption, therefore, these factors were considered and a total of 17 trials were run according to the Box Behnken design. Quadratic model had maximum R2 value (0.9984) and larger F value (1109.92). From the Analysis Of Variance table and R2 value, quadratic model was predicted to be the significant model with the best fit to the generated experimental data. The optimal parameters obtained from the contour plot for the maximum removal of chromium(VI) were initial metal concentration of 60 mg/L, pH value of 2, and temperature of 27°C. Under these conditions, maximum removal of 92% was obtained. Thus this biosorbent substantially eliminates chromium(VI) under optimized conditions, enabling its use in larger scale. |
topic |
Analysis Of Variance (ANOVA) Biosorbent Box Behnken design Chromium(VI) Gooseberry seed Optimal |
url |
http://www.gjesm.net/pdf_14835_4ca7f5af8a15d837c9b4e13700ae6030.html |
work_keys_str_mv |
AT jaravind optimizationofchromiumvibiosorptionusinggooseberryseedsbyresponsesurfacemethodology AT pkanmani optimizationofchromiumvibiosorptionusinggooseberryseedsbyresponsesurfacemethodology AT gsudha optimizationofchromiumvibiosorptionusinggooseberryseedsbyresponsesurfacemethodology AT rbalan optimizationofchromiumvibiosorptionusinggooseberryseedsbyresponsesurfacemethodology |
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1724309294712619008 |