A novel encapsulation of 16 polycyclic aromatic hydrocarbons in petroleum sludge with palm oil fuel ash binder; an optimization study and sensitivity analysis using machine learning application

Palm oil fuel ash (POFA) has limited use as a fertilizer, while contribute effectively to the environmental contamination and health risks. Petroleum sludge poses a serious effect on the ecological environment and human health. The present work aimed to present a novel encapsulation process with POF...

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Main Authors: Roslee, Noor Faiza, Mohd Kamil, Nor Amani Filzah, Alias, Salina, Kumar, P. Senthil, Alkhadher, Sadeq, Muthusamy, Govarthanan, Al-Gheethi, Adel
Format: Article
Language:English
Published: Elsevier 2023
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Online Access:http://eprints.uthm.edu.my/11590/1/J16116_5de02590d5b2ce2544a305eebd4f01e8.pdf
http://eprints.uthm.edu.my/11590/
https://doi.org/10.1016/j.chemosphere.2023.139037
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Institution: Universiti Tun Hussein Onn Malaysia
Language: English
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spelling my.uthm.eprints.115902024-09-03T08:51:12Z http://eprints.uthm.edu.my/11590/ A novel encapsulation of 16 polycyclic aromatic hydrocarbons in petroleum sludge with palm oil fuel ash binder; an optimization study and sensitivity analysis using machine learning application Roslee, Noor Faiza Mohd Kamil, Nor Amani Filzah Alias, Salina Kumar, P. Senthil Alkhadher, Sadeq Muthusamy, Govarthanan Al-Gheethi, Adel T Technology (General) Palm oil fuel ash (POFA) has limited use as a fertilizer, while contribute effectively to the environmental contamination and health risks. Petroleum sludge poses a serious effect on the ecological environment and human health. The present work aimed to present a novel encapsulation process with POFA binder for treating petroleum sludge. Among 16 polycyclic aromatic hydrocarbons, four compounds were selected for the optimization of encapsulation process due to their high risk as carcinogenic substrates. Percentage PS (10–50%) and curing days (7–28 days) factors were used in the optimization process. The leaching test of PAHs was assessed using a GC-MS. The best operating parameters to minimize PAHs leaching from solidified cubes with OPC and10% POFA were recorded with 10% PS and after 28 days, at which PAH leaching was 4.255 and 0.388 ppm with R2 is 0.90%. Sensitivity analysis of the actual and predicted results for both the control and the test (OPC and 10% POFA) revealed that the actual results of the 10% POFA experiments have a high consistency with the predicted data (R2 0.9881) while R2 in the cement experiments was 0.8009. These differences were explained based on the responses of PAH leaching toward percentage of PS and days of cure. In the OPC encapsulation process, the main role was belonged to PS% (94.22%), while with 10% POFA, PS% contributed by 32.36 and cure day contributed by 66.91%. Elsevier 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/11590/1/J16116_5de02590d5b2ce2544a305eebd4f01e8.pdf Roslee, Noor Faiza and Mohd Kamil, Nor Amani Filzah and Alias, Salina and Kumar, P. Senthil and Alkhadher, Sadeq and Muthusamy, Govarthanan and Al-Gheethi, Adel (2023) A novel encapsulation of 16 polycyclic aromatic hydrocarbons in petroleum sludge with palm oil fuel ash binder; an optimization study and sensitivity analysis using machine learning application. Chemosphere, 334. pp. 1-13. https://doi.org/10.1016/j.chemosphere.2023.139037
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Roslee, Noor Faiza
Mohd Kamil, Nor Amani Filzah
Alias, Salina
Kumar, P. Senthil
Alkhadher, Sadeq
Muthusamy, Govarthanan
Al-Gheethi, Adel
A novel encapsulation of 16 polycyclic aromatic hydrocarbons in petroleum sludge with palm oil fuel ash binder; an optimization study and sensitivity analysis using machine learning application
description Palm oil fuel ash (POFA) has limited use as a fertilizer, while contribute effectively to the environmental contamination and health risks. Petroleum sludge poses a serious effect on the ecological environment and human health. The present work aimed to present a novel encapsulation process with POFA binder for treating petroleum sludge. Among 16 polycyclic aromatic hydrocarbons, four compounds were selected for the optimization of encapsulation process due to their high risk as carcinogenic substrates. Percentage PS (10–50%) and curing days (7–28 days) factors were used in the optimization process. The leaching test of PAHs was assessed using a GC-MS. The best operating parameters to minimize PAHs leaching from solidified cubes with OPC and10% POFA were recorded with 10% PS and after 28 days, at which PAH leaching was 4.255 and 0.388 ppm with R2 is 0.90%. Sensitivity analysis of the actual and predicted results for both the control and the test (OPC and 10% POFA) revealed that the actual results of the 10% POFA experiments have a high consistency with the predicted data (R2 0.9881) while R2 in the cement experiments was 0.8009. These differences were explained based on the responses of PAH leaching toward percentage of PS and days of cure. In the OPC encapsulation process, the main role was belonged to PS% (94.22%), while with 10% POFA, PS% contributed by 32.36 and cure day contributed by 66.91%.
format Article
author Roslee, Noor Faiza
Mohd Kamil, Nor Amani Filzah
Alias, Salina
Kumar, P. Senthil
Alkhadher, Sadeq
Muthusamy, Govarthanan
Al-Gheethi, Adel
author_facet Roslee, Noor Faiza
Mohd Kamil, Nor Amani Filzah
Alias, Salina
Kumar, P. Senthil
Alkhadher, Sadeq
Muthusamy, Govarthanan
Al-Gheethi, Adel
author_sort Roslee, Noor Faiza
title A novel encapsulation of 16 polycyclic aromatic hydrocarbons in petroleum sludge with palm oil fuel ash binder; an optimization study and sensitivity analysis using machine learning application
title_short A novel encapsulation of 16 polycyclic aromatic hydrocarbons in petroleum sludge with palm oil fuel ash binder; an optimization study and sensitivity analysis using machine learning application
title_full A novel encapsulation of 16 polycyclic aromatic hydrocarbons in petroleum sludge with palm oil fuel ash binder; an optimization study and sensitivity analysis using machine learning application
title_fullStr A novel encapsulation of 16 polycyclic aromatic hydrocarbons in petroleum sludge with palm oil fuel ash binder; an optimization study and sensitivity analysis using machine learning application
title_full_unstemmed A novel encapsulation of 16 polycyclic aromatic hydrocarbons in petroleum sludge with palm oil fuel ash binder; an optimization study and sensitivity analysis using machine learning application
title_sort novel encapsulation of 16 polycyclic aromatic hydrocarbons in petroleum sludge with palm oil fuel ash binder; an optimization study and sensitivity analysis using machine learning application
publisher Elsevier
publishDate 2023
url http://eprints.uthm.edu.my/11590/1/J16116_5de02590d5b2ce2544a305eebd4f01e8.pdf
http://eprints.uthm.edu.my/11590/
https://doi.org/10.1016/j.chemosphere.2023.139037
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