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Carbonization parameters optimization for the biosorption capacity of Cu2+ by a novel biosorbent from agroindustrial solid waste using response surface methodology

This research focuses on optimizing the carbonization parameters of Exhausted Kahwa Coffee (EKC) for enhanced biosorption of Cu(II) from aqueous solutions. Utilizing the Box-Behnken design (BBD), the study systematically investigates the combined effects of carbonization temperature, time, and gradi...

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Main Authors: Puari, Aninda T., Azora, Arti, Rusnam, Rusnam, Yanti, Nika R., Arlius, Feri, Shukor, M. Y.
Format: Article
Language:English
Published: Elsevier 2024
Online Access:http://psasir.upm.edu.my/id/eprint/106092/1/1-s2.0-S2666016424000392-main.pdf
http://psasir.upm.edu.my/id/eprint/106092/
https://www.sciencedirect.com/science/article/pii/S2666016424000392
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spelling my.upm.eprints.1060922024-10-03T04:49:41Z http://psasir.upm.edu.my/id/eprint/106092/ Carbonization parameters optimization for the biosorption capacity of Cu2+ by a novel biosorbent from agroindustrial solid waste using response surface methodology Puari, Aninda T. Azora, Arti Rusnam, Rusnam Yanti, Nika R. Arlius, Feri Shukor, M. Y. This research focuses on optimizing the carbonization parameters of Exhausted Kahwa Coffee (EKC) for enhanced biosorption of Cu(II) from aqueous solutions. Utilizing the Box-Behnken design (BBD), the study systematically investigates the combined effects of carbonization temperature, time, and gradient on EKC biochar (EKC-BC) formation, maintaining a constant initial copper concentration. The BBD demonstrates statistical significance through ANOVA testing. The optimized carbonization conditions obtained are at 575.42 °C, 2.59 hours, and a gradient of 19.52 °C/min, yielding a maximum predicted biosorption capacity of 6.62 mg/g. Experimental values for Cu2+ removal rate and adsorption capacity confirm the model's accuracy, with a 2 deviation from predictions. Response surface methodology effectively enhances the preparation conditions of EKC-BC, leading to improved biosorption capacity. Copper biosorption aligns well with a linearly transformed Langmuir isotherm model, while the pseudo-second-order kinetic model accurately forecasts the rate constant. Instrumental analyses, including scanning electron microscopy-energy dispersive X-ray spectroscopy (SEM-EDX), Fourier-transform infrared spectroscopy (FT-IR), and X-ray diffraction (XRD), provide insights into the surface structural modification of EKC-BC after adsorption of Cu2+. Elsevier 2024 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/106092/1/1-s2.0-S2666016424000392-main.pdf Puari, Aninda T. and Azora, Arti and Rusnam, Rusnam and Yanti, Nika R. and Arlius, Feri and Shukor, M. Y. (2024) Carbonization parameters optimization for the biosorption capacity of Cu2+ by a novel biosorbent from agroindustrial solid waste using response surface methodology. Case Studies in Chemical and Environmental Engineering, 9. art. no. 100645. pp. 1-11. ISSN 2666-0164 https://www.sciencedirect.com/science/article/pii/S2666016424000392 10.1016/j.cscee.2024.100645
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This research focuses on optimizing the carbonization parameters of Exhausted Kahwa Coffee (EKC) for enhanced biosorption of Cu(II) from aqueous solutions. Utilizing the Box-Behnken design (BBD), the study systematically investigates the combined effects of carbonization temperature, time, and gradient on EKC biochar (EKC-BC) formation, maintaining a constant initial copper concentration. The BBD demonstrates statistical significance through ANOVA testing. The optimized carbonization conditions obtained are at 575.42 °C, 2.59 hours, and a gradient of 19.52 °C/min, yielding a maximum predicted biosorption capacity of 6.62 mg/g. Experimental values for Cu2+ removal rate and adsorption capacity confirm the model's accuracy, with a 2 deviation from predictions. Response surface methodology effectively enhances the preparation conditions of EKC-BC, leading to improved biosorption capacity. Copper biosorption aligns well with a linearly transformed Langmuir isotherm model, while the pseudo-second-order kinetic model accurately forecasts the rate constant. Instrumental analyses, including scanning electron microscopy-energy dispersive X-ray spectroscopy (SEM-EDX), Fourier-transform infrared spectroscopy (FT-IR), and X-ray diffraction (XRD), provide insights into the surface structural modification of EKC-BC after adsorption of Cu2+.
format Article
author Puari, Aninda T.
Azora, Arti
Rusnam, Rusnam
Yanti, Nika R.
Arlius, Feri
Shukor, M. Y.
spellingShingle Puari, Aninda T.
Azora, Arti
Rusnam, Rusnam
Yanti, Nika R.
Arlius, Feri
Shukor, M. Y.
Carbonization parameters optimization for the biosorption capacity of Cu2+ by a novel biosorbent from agroindustrial solid waste using response surface methodology
author_facet Puari, Aninda T.
Azora, Arti
Rusnam, Rusnam
Yanti, Nika R.
Arlius, Feri
Shukor, M. Y.
author_sort Puari, Aninda T.
title Carbonization parameters optimization for the biosorption capacity of Cu2+ by a novel biosorbent from agroindustrial solid waste using response surface methodology
title_short Carbonization parameters optimization for the biosorption capacity of Cu2+ by a novel biosorbent from agroindustrial solid waste using response surface methodology
title_full Carbonization parameters optimization for the biosorption capacity of Cu2+ by a novel biosorbent from agroindustrial solid waste using response surface methodology
title_fullStr Carbonization parameters optimization for the biosorption capacity of Cu2+ by a novel biosorbent from agroindustrial solid waste using response surface methodology
title_full_unstemmed Carbonization parameters optimization for the biosorption capacity of Cu2+ by a novel biosorbent from agroindustrial solid waste using response surface methodology
title_sort carbonization parameters optimization for the biosorption capacity of cu2+ by a novel biosorbent from agroindustrial solid waste using response surface methodology
publisher Elsevier
publishDate 2024
url http://psasir.upm.edu.my/id/eprint/106092/1/1-s2.0-S2666016424000392-main.pdf
http://psasir.upm.edu.my/id/eprint/106092/
https://www.sciencedirect.com/science/article/pii/S2666016424000392
_version_ 1814054595561783296
score 13.211869

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