Dye removal with emulsion liquid membrane: experimental design and response surface methodology

This work aims to removing anionic food dyes, Acid Red18 (E124) and Quinoline Yellow WS (E104), from their aqueous solutions. The Emulsion Liquid Membrane (ELM) technique was used. ELM consists of diluent (kerosene), nonionic surfactant (0.5 wt. % Triton X-45), Aliquat 336 as an extractant. Sulfuric...

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Bibliographic Details
Published inEnvironmental technology Vol. 44; no. 28; pp. 4296 - 4312
Main Authors Benabela, Imene, Benderrag, Abdelkader, Haddou, Boumediene, Canselier, Jean Paul, Gourdon, Christophe
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 19.12.2023
Taylor & Francis Ltd
Subjects
Acid Red18
Aliquat
Aqueous solutions
Color removal
Design of experiments
Dyes
emulsion liquid membrane
Experimental design
Extraction
Food dyes
Liquid membranes
Mathematical analysis
Mixtures
optimization
Parameters
Quinoline
Quinoline Yellow WS
Response surface methodology
Sulfuric acid
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Summary:This work aims to removing anionic food dyes, Acid Red18 (E124) and Quinoline Yellow WS (E104), from their aqueous solutions. The Emulsion Liquid Membrane (ELM) technique was used. ELM consists of diluent (kerosene), nonionic surfactant (0.5 wt. % Triton X-45), Aliquat 336 as an extractant. Sulfuric acid (H 2 SO 4 ) solution was used as an internal aqueous phase. The key parameters impacting the stability of liquid membrane and the efficiency of dye removal were investigated; Almost 98% of E124 at 50 mg/L are successfully extracted under optimum conditions. The extraction of a mixture of the two dyes at equal concentrations (25 mg/L) was conducted and their extraction showed more than 95% of efficiency. The experimental results of dye mixture (E124, E104) extraction were expressed by the following three quantities: The concentration of Triton X-45, the concentration of Aliquat 336, and the internal phase concentration of H 2 SO 4, represented on three dimensional plots using the Box-Behnken design and the response surface methodology. For each of the parameters, the values of which were determined by experimental design, these results were subjected to empirical smoothing. The values, thus calculated, are consistent with the measurements.
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ISSN:0959-3330
1479-487X
DOI:10.1080/09593330.2022.2091480