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...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/106092/ http://psasir.upm.edu.my/id/eprint/106092/1/1-s2.0-S2666016424000392-main.pdf |
| _version_ | 1848864686957658112 |
|---|---|
| author | Puari, Aninda T. Azora, Arti Rusnam, Rusnam Yanti, Nika R. Arlius, Feri Shukor, M. Y. |
| author_facet | Puari, Aninda T. Azora, Arti Rusnam, Rusnam Yanti, Nika R. Arlius, Feri Shukor, M. Y. |
| author_sort | Puari, Aninda T. |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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+. |
| first_indexed | 2025-11-15T13:52:46Z |
| format | Article |
| id | upm-106092 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T13:52:46Z |
| publishDate | 2024 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| 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 |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/106092/ http://psasir.upm.edu.my/id/eprint/106092/ http://psasir.upm.edu.my/id/eprint/106092/ http://psasir.upm.edu.my/id/eprint/106092/1/1-s2.0-S2666016424000392-main.pdf |