Development of effective lead removal from wastewater by graphene oxide
This study aims to remove lead from wastewater effluent by adsorption process using graphene oxide (GO). FTIR revealed the presence of functional groups such as carboxyl, epoxy, and hydroxyl. The morphology of GO was analysed by SEM displayed GO consists of randomly aggregated and crumpled structure...
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iium-790492020-02-27T08:17:57Z http://irep.iium.edu.my/79049/ Development of effective lead removal from wastewater by graphene oxide Nik Abdul Ghani, Nik Rashida Jami, Mohammed Saedi Alam, Md. Zahangir Wan Salim, Wan Wardatul Amani , TP155 Chemical engineering This study aims to remove lead from wastewater effluent by adsorption process using graphene oxide (GO). FTIR revealed the presence of functional groups such as carboxyl, epoxy, and hydroxyl. The morphology of GO was analysed by SEM displayed GO consists of randomly aggregated and crumpled structure, showed some wrinkle and fold area on the surface of GO which confirmed that the graphite was well exfoliated during the oxidation process. The adsorption parameters were optimized using fractional factorial design. GO demonstrated 99.98 % of lead removal at initial concentration of 100 mg/L lead, pH 9 and 60 min of contact time. Adsorption studies indicated that the adsorption fitted well with the Langmuir isotherm model, predicted the monolayer coverage removal of lead. 2019 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/79049/1/Nik%20Rashida%20binti%20Nik%20Abdul%20Ghani.pdf application/pdf en http://irep.iium.edu.my/79049/2/Poster%20Template%20Vertical_NikRashida.pdf Nik Abdul Ghani, Nik Rashida and Jami, Mohammed Saedi and Alam, Md. Zahangir and Wan Salim, Wan Wardatul Amani and UNSPECIFIED (2019) Development of effective lead removal from wastewater by graphene oxide. In: Graphene Malaysia 2019, Putrajaya Marriott Hotel, Putrajaya, Malaysia. (Unpublished) |
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International Islamic University Malaysia |
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English English |
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TP155 Chemical engineering |
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TP155 Chemical engineering Nik Abdul Ghani, Nik Rashida Jami, Mohammed Saedi Alam, Md. Zahangir Wan Salim, Wan Wardatul Amani , Development of effective lead removal from wastewater by graphene oxide |
description |
This study aims to remove lead from wastewater effluent by adsorption process using graphene oxide (GO). FTIR revealed the presence of functional groups such as carboxyl, epoxy, and hydroxyl. The morphology of GO was analysed by SEM displayed GO consists of randomly aggregated and crumpled structure, showed some wrinkle and fold area on the surface of GO which confirmed that the graphite was well exfoliated during the oxidation process. The adsorption parameters were optimized using fractional factorial design. GO demonstrated 99.98 % of lead removal at initial concentration of 100 mg/L lead, pH 9 and 60 min of contact time. Adsorption studies indicated that the adsorption fitted well with the Langmuir isotherm model, predicted the monolayer coverage removal of lead. |
format |
Conference or Workshop Item |
author |
Nik Abdul Ghani, Nik Rashida Jami, Mohammed Saedi Alam, Md. Zahangir Wan Salim, Wan Wardatul Amani , |
author_facet |
Nik Abdul Ghani, Nik Rashida Jami, Mohammed Saedi Alam, Md. Zahangir Wan Salim, Wan Wardatul Amani , |
author_sort |
Nik Abdul Ghani, Nik Rashida |
title |
Development of effective lead removal from wastewater by graphene oxide |
title_short |
Development of effective lead removal from wastewater by graphene oxide |
title_full |
Development of effective lead removal from wastewater by graphene oxide |
title_fullStr |
Development of effective lead removal from wastewater by graphene oxide |
title_full_unstemmed |
Development of effective lead removal from wastewater by graphene oxide |
title_sort |
development of effective lead removal from wastewater by graphene oxide |
publishDate |
2019 |
url |
http://irep.iium.edu.my/79049/ http://irep.iium.edu.my/79049/1/Nik%20Rashida%20binti%20Nik%20Abdul%20Ghani.pdf http://irep.iium.edu.my/79049/2/Poster%20Template%20Vertical_NikRashida.pdf |
first_indexed |
2023-09-18T21:51:13Z |
last_indexed |
2023-09-18T21:51:13Z |
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1777413781784100864 |