Guinea grass (Megathyrsus maximus) fibres as sorbent in diesel bioremediation
In this study, the ability of a natural grass named Megathyrsus maximus (Guinea grass) as a sorbent for cleaning up diesel spills in water was investigated. Fourier transform infrared (FTIR) spectroscopy was used to identify the physicochemical properties of untreated and treated GG. Several paramet...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
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Multidisciplinary Digital Publishing Institute
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/108138/ |
| _version_ | 1848865082821312512 |
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| author | Khalid, Farah Eryssa Zakaria, Nur Nadhirah Azmi, Alyza Azzura Shaharuddin, Noor Azmi Sabri, Suriana Abdul Khalil, Khalilah Gomez-Fuentes, Claudio Zulkharnain, Azham Lim, Sooa Ahmad, Siti Aqlima |
| author_facet | Khalid, Farah Eryssa Zakaria, Nur Nadhirah Azmi, Alyza Azzura Shaharuddin, Noor Azmi Sabri, Suriana Abdul Khalil, Khalilah Gomez-Fuentes, Claudio Zulkharnain, Azham Lim, Sooa Ahmad, Siti Aqlima |
| author_sort | Khalid, Farah Eryssa |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In this study, the ability of a natural grass named Megathyrsus maximus (Guinea grass) as a sorbent for cleaning up diesel spills in water was investigated. Fourier transform infrared (FTIR) spectroscopy was used to identify the physicochemical properties of untreated and treated GG. Several parameters influencing the efficiency of oil absorbed by guinea grass were optimised using established One Factor at a Time (OFAT) and followed by Response Surface Methodology (RSM) approaches. The optimised parameters include heat treatment, time of heating, packing density, and diesel concentration, with only the significant factors proceeded to statistical optimisation through RSM. As a result of OFAT analysis, 18.83 mL of oil was absorbed at 110 °C for 15 min time of heating, with packing density of 14 g/cm3 and oil concentration of 10% (v/v). Through RSM, the predicted model was significant, confirming that packing density and oil concentration significantly influenced the efficiency of oil absorption by GG. The software predicted an oil absorption efficiency of 16.64 mL, whereas the experimental model validated the design with 22.33 mL of oil absorbed at a constant temperature and time, respectively. The RSM technique has proven better efficiency and effectiveness in absorbing oil compared to OFAT. This research advances our understanding of the utilisation of natural sorbents as a diesel pollution remediation strategy. |
| first_indexed | 2025-11-15T13:59:03Z |
| format | Article |
| id | upm-108138 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:59:03Z |
| publishDate | 2023 |
| publisher | Multidisciplinary Digital Publishing Institute |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1081382024-09-24T07:36:37Z http://psasir.upm.edu.my/id/eprint/108138/ Guinea grass (Megathyrsus maximus) fibres as sorbent in diesel bioremediation Khalid, Farah Eryssa Zakaria, Nur Nadhirah Azmi, Alyza Azzura Shaharuddin, Noor Azmi Sabri, Suriana Abdul Khalil, Khalilah Gomez-Fuentes, Claudio Zulkharnain, Azham Lim, Sooa Ahmad, Siti Aqlima In this study, the ability of a natural grass named Megathyrsus maximus (Guinea grass) as a sorbent for cleaning up diesel spills in water was investigated. Fourier transform infrared (FTIR) spectroscopy was used to identify the physicochemical properties of untreated and treated GG. Several parameters influencing the efficiency of oil absorbed by guinea grass were optimised using established One Factor at a Time (OFAT) and followed by Response Surface Methodology (RSM) approaches. The optimised parameters include heat treatment, time of heating, packing density, and diesel concentration, with only the significant factors proceeded to statistical optimisation through RSM. As a result of OFAT analysis, 18.83 mL of oil was absorbed at 110 °C for 15 min time of heating, with packing density of 14 g/cm3 and oil concentration of 10% (v/v). Through RSM, the predicted model was significant, confirming that packing density and oil concentration significantly influenced the efficiency of oil absorption by GG. The software predicted an oil absorption efficiency of 16.64 mL, whereas the experimental model validated the design with 22.33 mL of oil absorbed at a constant temperature and time, respectively. The RSM technique has proven better efficiency and effectiveness in absorbing oil compared to OFAT. This research advances our understanding of the utilisation of natural sorbents as a diesel pollution remediation strategy. Multidisciplinary Digital Publishing Institute 2023 Article PeerReviewed Khalid, Farah Eryssa and Zakaria, Nur Nadhirah and Azmi, Alyza Azzura and Shaharuddin, Noor Azmi and Sabri, Suriana and Abdul Khalil, Khalilah and Gomez-Fuentes, Claudio and Zulkharnain, Azham and Lim, Sooa and Ahmad, Siti Aqlima (2023) Guinea grass (Megathyrsus maximus) fibres as sorbent in diesel bioremediation. Sustainability, 15 (5). art. no. 3904. pp. 1-17. ISSN 1937-0695; ESSN: 1937-0709 https://www.mdpi.com/2071-1050/15/5/3904 10.3390/su15053904 |
| spellingShingle | Khalid, Farah Eryssa Zakaria, Nur Nadhirah Azmi, Alyza Azzura Shaharuddin, Noor Azmi Sabri, Suriana Abdul Khalil, Khalilah Gomez-Fuentes, Claudio Zulkharnain, Azham Lim, Sooa Ahmad, Siti Aqlima Guinea grass (Megathyrsus maximus) fibres as sorbent in diesel bioremediation |
| title | Guinea grass (Megathyrsus maximus) fibres as sorbent in diesel bioremediation |
| title_full | Guinea grass (Megathyrsus maximus) fibres as sorbent in diesel bioremediation |
| title_fullStr | Guinea grass (Megathyrsus maximus) fibres as sorbent in diesel bioremediation |
| title_full_unstemmed | Guinea grass (Megathyrsus maximus) fibres as sorbent in diesel bioremediation |
| title_short | Guinea grass (Megathyrsus maximus) fibres as sorbent in diesel bioremediation |
| title_sort | guinea grass (megathyrsus maximus) fibres as sorbent in diesel bioremediation |
| url | http://psasir.upm.edu.my/id/eprint/108138/ http://psasir.upm.edu.my/id/eprint/108138/ http://psasir.upm.edu.my/id/eprint/108138/ |