Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/27590
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dc.contributor.authorKitnithet S.
dc.contributor.authorKongtaworn K.
dc.contributor.authorChutvirasakul B.
dc.contributor.authorRamakul P.
dc.date.accessioned2022-12-14T03:17:43Z-
dc.date.available2022-12-14T03:17:43Z-
dc.date.issued2022
dc.identifier.issn986445
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85099405339&doi=10.1080%2f00986445.2020.1869951&partnerID=40&md5=e5cbbdc289725922b5506c89bd5f0ae5
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/27590-
dc.description.abstractThe removal and recovery of paraquat from an aqueous solution using a hollow fiber supported liquid membrane (HFSLM) was performed. The extractant was Di-(2-ethylhexyl) phosphoric acid (D2EHPA) which was dissolved in kerosene, whereas the recovery solution was a hydrochloric acid solution. It was found that the pH concentration of D2EHPA, concentration of hydrochloric acid at 8, 4% (v/v), and 1.0 M, respectively, were the optimum conditions. In the one-through mode, 70% and 68% of extraction and recovery, respectively, were achieved, while 99% extraction and recovery were obtained in the circulated mode. In addition, the mathematical model can predict the concentration of paraquat in raffinate solution with different paraquat concentrations and flow rates of feed solution with the R2 of 0.923 and 0.843, respectively. © 2020 Taylor & Francis Group, LLC.
dc.languageen
dc.subjectExtraction
dc.subjectHerbicides
dc.subjectLiquid membranes
dc.subjectPhosphoric acid
dc.subjectRecovery
dc.subjectAqueous media
dc.subjectDi(2-ethylhexyl)phosphoric acid
dc.subjectExtractants
dc.subjectFeed solution
dc.subjectHollow fiber supported liquid membrane
dc.subjectHydrochloric acid solution
dc.titleRemoval of paraquat from aqueous media via HFSLM and mathematical modeling
dc.typeArticle
dc.rights.holderScopus
dc.identifier.bibliograpycitationChemical Engineering Communications. Vol 209, No.2 (2022), p.281-290
dc.identifier.doi10.1080/00986445.2020.1869951
Appears in Collections:Scopus 2022

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