Removal of lead ions using OA-Fe3O4 magnetic nanoparticles-based pickering emulsion liquid membrane : process optimization using box-behnken response surface methodology
The purpose of this study is to explore the pickering emulsion liquid membrane (PELM) performance for removing divalent lead ions (Pb II) from aqueous solution. In the present work, the membrane phase was prepared by dissolving methyltrioctylammonium chloride (Aliquat 336) with Mahua oil and adding...
| Publié dans: | Environmental technology. - 1993. - 44(2023), 11 vom: 31. Apr., Seite 1579-1591 |
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| Auteur principal: | |
| Autres auteurs: | , , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2023
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| Accès à la collection: | Environmental technology |
| Sujets: | Journal Article Box–Behnken design OA-Fe3O4 PELM lead ions process parameters Lead 2P299V784P Emulsions Magnetite Nanoparticles plus... |
| Résumé: | The purpose of this study is to explore the pickering emulsion liquid membrane (PELM) performance for removing divalent lead ions (Pb II) from aqueous solution. In the present work, the membrane phase was prepared by dissolving methyltrioctylammonium chloride (Aliquat 336) with Mahua oil and adding oleic acid coated-ferrosoferric oxide (OA-Fe3O4) as magnetic nanoparticles. Experimental investigation on percentage removal of lead ions was carried out by studying the influencing process parameters such as pH, agitation speed, stripping concentration, initial feed concentration, surfactant concentration, treat ratio, M/S ratio and carrier concentration. The optimum condition to remove 98.52% of lead ions from the feed solutions has achieved at a stripping phase concentration of 0.3 M, treat ratio of 3, agitation speed of 300 rpm, initial feed concentration of 10 ppm and stabilizer concentration of 2 wt%. The experimental results were validated using box-behnken response surface methodology. The extraction ability of OA-Fe3O4 magnetic nanoparticles-based PELM has been evaluated using statistical optimization of all the affecting process factors using the design of the experiments |
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| Description: | Date Completed 25.04.2023 Date Revised 25.04.2023 published: Print-Electronic Citation Status MEDLINE |
| ISSN: | 1479-487X |
| DOI: | 10.1080/09593330.2021.2008016 |