Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152718
Title: Statistical optimization of glyphosate adsorption by biochar and activated carbon with response surface methodology
Authors: Herath, Gayana Anjali Dissanayake
Poh, Leong Soon
Ng, Wun Jern
Keywords: Engineering::Environmental engineering
Issue Date: 2019
Source: 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
Journal: Chemosphere
Abstract: 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.
URI: https://hdl.handle.net/10356/152718
ISSN: 0045-6535
DOI: 10.1016/j.chemosphere.2019.04.078
Rights: © 2019 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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