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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...

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Main Authors: 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
Format: Article
Published: Multidisciplinary Digital Publishing Institute 2023
Online Access:http://psasir.upm.edu.my/id/eprint/108138/
https://www.mdpi.com/2071-1050/15/5/3904
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spelling my.upm.eprints.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
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/
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.
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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
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
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
title Guinea grass (Megathyrsus maximus) fibres as sorbent in diesel bioremediation
title_short 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_sort guinea grass (megathyrsus maximus) fibres as sorbent in diesel bioremediation
publisher Multidisciplinary Digital Publishing Institute
publishDate 2023
url http://psasir.upm.edu.my/id/eprint/108138/
https://www.mdpi.com/2071-1050/15/5/3904
_version_ 1811685998166278144
score 13.211869

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