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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Published in:Chemosphere
Main Author: Roslee N.F.; Kamil N.A.F.M.; Alias S.; Senthil Kumar P.; Alkhadher S.; Muthusamy G.; Al-Gheethi A.
Format: Article
Language:English
Published: Elsevier Ltd 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160340140&doi=10.1016%2fj.chemosphere.2023.139037&partnerID=40&md5=1feac9b949d26bffd482e055eac6f87d
id 2-s2.0-85160340140
spelling 2-s2.0-85160340140
Roslee N.F.; Kamil N.A.F.M.; Alias S.; Senthil Kumar P.; Alkhadher S.; Muthusamy G.; Al-Gheethi A.
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
2023
Chemosphere
334

10.1016/j.chemosphere.2023.139037
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160340140&doi=10.1016%2fj.chemosphere.2023.139037&partnerID=40&md5=1feac9b949d26bffd482e055eac6f87d
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%. © 2023 Elsevier Ltd
Elsevier Ltd
456535
English
Article

author Roslee N.F.; Kamil N.A.F.M.; Alias S.; Senthil Kumar P.; Alkhadher S.; Muthusamy G.; Al-Gheethi A.
spellingShingle Roslee N.F.; Kamil N.A.F.M.; Alias S.; Senthil Kumar P.; Alkhadher S.; Muthusamy G.; Al-Gheethi A.
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
author_facet Roslee N.F.; Kamil N.A.F.M.; Alias S.; Senthil Kumar P.; Alkhadher S.; Muthusamy G.; Al-Gheethi A.
author_sort Roslee N.F.; Kamil N.A.F.M.; Alias S.; Senthil Kumar P.; Alkhadher S.; Muthusamy G.; Al-Gheethi A.
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 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
publishDate 2023
container_title Chemosphere
container_volume 334
container_issue
doi_str_mv 10.1016/j.chemosphere.2023.139037
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160340140&doi=10.1016%2fj.chemosphere.2023.139037&partnerID=40&md5=1feac9b949d26bffd482e055eac6f87d
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%. © 2023 Elsevier Ltd
publisher Elsevier Ltd
issn 456535
language English
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