Kinetic analysis for the removal of copper using Durvillaea antarctica

Existing techniques for the treatment of pollutants include membrane separation, ion exchange, precipitation, and transformation and biosorption. Of all this technology, biosorption has several positive aspects which include low operating expenses, very efficient detoxification of toxicants at low c...

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Main Authors: Basirun, Ain Aqilah, Saidon Khudri, Muhammad Arif Mukhriz Ros, Yasid, Nur Adeela, Othman, Ahmad Razi, Wan Johari, Wan Lutfi, Shukor, Mohd Yunus, Halmi, Mohd Izuan Effendi
Format: Article
Language:English
Published: Hibiscus Publisher 2019
Online Access:http://psasir.upm.edu.my/id/eprint/81169/1/Kinetic%20analysis.pdf
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author Basirun, Ain Aqilah
Saidon Khudri, Muhammad Arif Mukhriz Ros
Yasid, Nur Adeela
Othman, Ahmad Razi
Wan Johari, Wan Lutfi
Shukor, Mohd Yunus
Halmi, Mohd Izuan Effendi
author_facet Basirun, Ain Aqilah
Saidon Khudri, Muhammad Arif Mukhriz Ros
Yasid, Nur Adeela
Othman, Ahmad Razi
Wan Johari, Wan Lutfi
Shukor, Mohd Yunus
Halmi, Mohd Izuan Effendi
author_sort Basirun, Ain Aqilah
collection UPM
description Existing techniques for the treatment of pollutants include membrane separation, ion exchange, precipitation, and transformation and biosorption. Of all this technology, biosorption has several positive aspects which include low operating expenses, very efficient detoxification of toxicants at low concentrations, low amount of disposal materials and does not need nutrient requirements as in bacterial-based remediation, the latter of which is limited by the presence of heavy metals and other toxicants. The reduction of copper by Durvillaea antarctica, an alga that lives as south as the Antarctic region can be an efficient and low-cost tool for remediation of copper. In this study, the kinetics of copper biosorption is modelled according to the pseudo-first order, pseudo-second order and Elovich models. Statistical analysis based on root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), accuracy factor (AF) and corrected AICc (Akaike Information Criterion) showed that the pseudo-second order model is the best model. Kinetic analysis using the pseudo-second order model at 0.15 mM copper gave a value of equilibrium sorption capacity qe of 0.150 mmol g-1 (95% confidence interval from 0.149 to 0.151) and a value of the pseudo-second-order rate constant, k2 of 8.605 (95% confidence interval from 7.016 to 10.194).
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spelling upm.eprints-811692021-09-26T20:39:55Z http://psasir.upm.edu.my/id/eprint/81169/ Kinetic analysis for the removal of copper using Durvillaea antarctica Basirun, Ain Aqilah Saidon Khudri, Muhammad Arif Mukhriz Ros Yasid, Nur Adeela Othman, Ahmad Razi Wan Johari, Wan Lutfi Shukor, Mohd Yunus Halmi, Mohd Izuan Effendi Existing techniques for the treatment of pollutants include membrane separation, ion exchange, precipitation, and transformation and biosorption. Of all this technology, biosorption has several positive aspects which include low operating expenses, very efficient detoxification of toxicants at low concentrations, low amount of disposal materials and does not need nutrient requirements as in bacterial-based remediation, the latter of which is limited by the presence of heavy metals and other toxicants. The reduction of copper by Durvillaea antarctica, an alga that lives as south as the Antarctic region can be an efficient and low-cost tool for remediation of copper. In this study, the kinetics of copper biosorption is modelled according to the pseudo-first order, pseudo-second order and Elovich models. Statistical analysis based on root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), accuracy factor (AF) and corrected AICc (Akaike Information Criterion) showed that the pseudo-second order model is the best model. Kinetic analysis using the pseudo-second order model at 0.15 mM copper gave a value of equilibrium sorption capacity qe of 0.150 mmol g-1 (95% confidence interval from 0.149 to 0.151) and a value of the pseudo-second-order rate constant, k2 of 8.605 (95% confidence interval from 7.016 to 10.194). Hibiscus Publisher 2019-08-05 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81169/1/Kinetic%20analysis.pdf Basirun, Ain Aqilah and Saidon Khudri, Muhammad Arif Mukhriz Ros and Yasid, Nur Adeela and Othman, Ahmad Razi and Wan Johari, Wan Lutfi and Shukor, Mohd Yunus and Halmi, Mohd Izuan Effendi (2019) Kinetic analysis for the removal of copper using Durvillaea antarctica. Journal of Environmental Microbiology and Toxicology, 7 (1). pp. 32-35. ISSN 2289-5906 https://journal.hibiscuspublisher.com/index.php/JEMAT/article/view/469
spellingShingle Basirun, Ain Aqilah
Saidon Khudri, Muhammad Arif Mukhriz Ros
Yasid, Nur Adeela
Othman, Ahmad Razi
Wan Johari, Wan Lutfi
Shukor, Mohd Yunus
Halmi, Mohd Izuan Effendi
Kinetic analysis for the removal of copper using Durvillaea antarctica
title Kinetic analysis for the removal of copper using Durvillaea antarctica
title_full Kinetic analysis for the removal of copper using Durvillaea antarctica
title_fullStr Kinetic analysis for the removal of copper using Durvillaea antarctica
title_full_unstemmed Kinetic analysis for the removal of copper using Durvillaea antarctica
title_short Kinetic analysis for the removal of copper using Durvillaea antarctica
title_sort kinetic analysis for the removal of copper using durvillaea antarctica
url http://psasir.upm.edu.my/id/eprint/81169/1/Kinetic%20analysis.pdf
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