Screening of parameters and optimization of nickel extraction by green emulsion liquid membrane using statistical experimental design

Abstract This study focuses on the extraction of nickel ions from an aqueous solution using a green emulsion liquid membrane (GELM). Its primary objective is to choose between corn oil and sunflower oil as a solvent in GELM and compare their performance with a kerosene‐based emulsion liquid membrane (ELM). The membrane phase was made by dissolving the carrier (D2EHPA) and the surfactant (tween 80), in the solvents. Subsequently, the membrane was emulsified with the stripping agent (sulphuric acid) to produce the GELM. A Plackett–Burman design was employed to determine the key parameters influencing nickel extraction. Among the considered parameters, treatment ratio, surfactant concentration, carrier concentration, and stripping agent concentrations were identified as the significant factors affecting nickel extraction. Parameters such as stirring speed and time, external phase pH, and phase ratio were found to be non‐significant and were kept constant. The central composite design method was employed to determine the optimum value of the key parameters. Under the optimal conditions, 98.1% of the nickel ions were successfully extracted. The feasibility of recycling the membrane phase was examined, and the performance of GELMs prepared using both fresh and recovered membrane phases was analyzed. The experimental results showed that the extraction efficiency decreased by 1.02% and 7.99% after two membrane recycling cycles, which was still within the acceptable range.

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Publication Details

Journal
The Canadian Journal of Chemical Engineering
Published
2025-03-02
DOI
https://doi.org/10.1002/cjce.25657
Citations
3
Primary Topic
Extraction and Separation Processes
Type
article
Field-Weighted Citation Impact
2.14

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article

Screening of parameters and optimization of nickel extraction by green emulsion liquid membrane using statistical experimental design

Stevan S. Dubljevic, Guilherme Ozorio Cassol, Farzin Sadehlari
3 citations
The Canadian Journal of Chemical Engineering
Extraction and Separation Processes
2.14
article

Screening of parameters and optimization of nickel extraction by green emulsion liquid membrane using statistical experimental design

Stevan S. Dubljevic, Guilherme Ozorio Cassol, Farzin Sadehlari
article en
3 citations

Abstract

Abstract This study focuses on the extraction of nickel ions from an aqueous solution using a green emulsion liquid membrane (GELM). Its primary objective is to choose between corn oil and sunflower oil as a solvent in GELM and compare their performance with a kerosene‐based emulsion liquid membrane (ELM). The membrane phase was made by dissolving the carrier (D2EHPA) and the surfactant (tween 80), in the solvents. Subsequently, the membrane was emulsified with the stripping agent (sulphuric acid) to produce the GELM. A Plackett–Burman design was employed to determine the key parameters influencing nickel extraction. Among the considered parameters, treatment ratio, surfactant concentration, carrier concentration, and stripping agent concentrations were identified as the significant factors affecting nickel extraction. Parameters such as stirring speed and time, external phase pH, and phase ratio were found to be non‐significant and were kept constant. The central composite design method was employed to determine the optimum value of the key parameters. Under the optimal conditions, 98.1% of the nickel ions were successfully extracted. The feasibility of recycling the membrane phase was examined, and the performance of GELMs prepared using both fresh and recovered membrane phases was analyzed. The experimental results showed that the extraction efficiency decreased by 1.02% and 7.99% after two membrane recycling cycles, which was still within the acceptable range.

The Canadian Journal of Chemical EngineeringVol. 103(9)
University of Alberta (CA)
Natural Sciences and Engineering Research Council of Canada
Clean water and sanitation
Openalex Percentile: Top 15%
Extraction and Separation Processes
2.14
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