Statistical optimization of glyphosate adsorption by biochar and activated carbon with response surface methodology

The introduction of glyphosate, found in herbicides, to waterbodies is of concern due to its toxicity and hence potential threat to public health and ecological systems. The present study has compared glyphosate removal from aqueous solution with activated carbon and biochar. Box-Behnken design, and...

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Main Authors: Herath, Gayana Anjali Dissanayake, Poh, Leong Soon, Ng, Wun Jern
Other Authors: Interdisciplinary Graduate School (IGS)
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/152718
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1527182021-09-24T04:59:24Z Statistical optimization of glyphosate adsorption by biochar and activated carbon with response surface methodology Herath, Gayana Anjali Dissanayake Poh, Leong Soon Ng, Wun Jern Interdisciplinary Graduate School (IGS) School of Civil and Environmental Engineering Nanyang Environment and Water Research Institute Environmental Bio-innovations Group Engineering::Environmental engineering Glyphosate Box-behnken Method The introduction of glyphosate, found in herbicides, to waterbodies is of concern due to its toxicity and hence potential threat to public health and ecological systems. The present study has compared glyphosate removal from aqueous solution with activated carbon and biochar. Box-Behnken design, and percent contribution with Pareto analysis techniques were used in surface response and efficiency calculations modelled the process conditions and their effects. The adsorption data better fitted the Freundlich isotherm model than the Langmuir model. The rate of glyphosate adsorption was found to follow a pseudo-second-order model. pH of the solutions was regulated by buffering during the adsorption process. Higher efficacy of glyphosate removal was obtained by optimising parameters such as operating pH, initial glyphosate concentration, temperature, adsorbent dose, and contact time. The conditions yielding the best removals were pH 8.0, 0.2 mg/L, 50.0 °C, 11.4 g/L, 1.7 h for activated carbon and pH 5.0, 0.7 mg/L, 50.0 °C, 12.3 g/L, 1.9 h for biochar, for the aforementioned parameters respectively. The maximum removal capacity and efficiency were 0.0173 mg/g and 98.45% for activated carbon, and 0.0569 mg/g and 100.00% for biochar. The test results indicated biochar could be important from the perspective of performance and affordability. 2021-09-20T02:09:42Z 2021-09-20T02:09:42Z 2019 Journal Article Herath, G. A. D., Poh, L. S. & Ng, W. J. (2019). Statistical optimization of glyphosate adsorption by biochar and activated carbon with response surface methodology. Chemosphere, 227, 533-540. https://dx.doi.org/10.1016/j.chemosphere.2019.04.078 0045-6535 https://hdl.handle.net/10356/152718 10.1016/j.chemosphere.2019.04.078 31004820 2-s2.0-85064455357 227 533 540 en Chemosphere © 2019 Elsevier Ltd. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Environmental engineering
Glyphosate
Box-behnken Method
spellingShingle Engineering::Environmental engineering
Glyphosate
Box-behnken Method
Herath, Gayana Anjali Dissanayake
Poh, Leong Soon
Ng, Wun Jern
Statistical optimization of glyphosate adsorption by biochar and activated carbon with response surface methodology
description The introduction of glyphosate, found in herbicides, to waterbodies is of concern due to its toxicity and hence potential threat to public health and ecological systems. The present study has compared glyphosate removal from aqueous solution with activated carbon and biochar. Box-Behnken design, and percent contribution with Pareto analysis techniques were used in surface response and efficiency calculations modelled the process conditions and their effects. The adsorption data better fitted the Freundlich isotherm model than the Langmuir model. The rate of glyphosate adsorption was found to follow a pseudo-second-order model. pH of the solutions was regulated by buffering during the adsorption process. Higher efficacy of glyphosate removal was obtained by optimising parameters such as operating pH, initial glyphosate concentration, temperature, adsorbent dose, and contact time. The conditions yielding the best removals were pH 8.0, 0.2 mg/L, 50.0 °C, 11.4 g/L, 1.7 h for activated carbon and pH 5.0, 0.7 mg/L, 50.0 °C, 12.3 g/L, 1.9 h for biochar, for the aforementioned parameters respectively. The maximum removal capacity and efficiency were 0.0173 mg/g and 98.45% for activated carbon, and 0.0569 mg/g and 100.00% for biochar. The test results indicated biochar could be important from the perspective of performance and affordability.
author2 Interdisciplinary Graduate School (IGS)
author_facet Interdisciplinary Graduate School (IGS)
Herath, Gayana Anjali Dissanayake
Poh, Leong Soon
Ng, Wun Jern
format Article
author Herath, Gayana Anjali Dissanayake
Poh, Leong Soon
Ng, Wun Jern
author_sort Herath, Gayana Anjali Dissanayake
title Statistical optimization of glyphosate adsorption by biochar and activated carbon with response surface methodology
title_short Statistical optimization of glyphosate adsorption by biochar and activated carbon with response surface methodology
title_full Statistical optimization of glyphosate adsorption by biochar and activated carbon with response surface methodology
title_fullStr Statistical optimization of glyphosate adsorption by biochar and activated carbon with response surface methodology
title_full_unstemmed Statistical optimization of glyphosate adsorption by biochar and activated carbon with response surface methodology
title_sort statistical optimization of glyphosate adsorption by biochar and activated carbon with response surface methodology
publishDate 2021
url https://hdl.handle.net/10356/152718
_version_ 1712300648364507136