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Feasibility of Ionic Liquids as Alternative Separation Media for Industrial Solvent Extraction Processes
Abstract
Extraction of rare earth metals into ionic liquids (ILs) from aqueous solutions was investigated using octyl(phenyl)- N, N -diisobutylcarbamoylmethyl phosphine oxide (CMPO) as an extractant. Use of ILs greatly enhanced the extraction efficiency and selectivity of CMPO for metal ions compared to when n -dodecane was used as the extracting solvent. The extraction mechanism has been studied by slope analysis and extraction tests, and these confirmed that the metal extraction proceeds via a cation-exchange mechanism. Furthermore, stripping of metals from ILs into an aqueous phase by complexing agents and recycling of the extracting ILs phase was successfully accomplished.
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Cites
pH-Dependent partitioning in room temperature ionic liquids
Visser, A. E., Swatloski, R. P., & Rogers, R. D. (2000) · Green Chemistry · doi:10.1039/a908888a · Cited by 281
Cited by
Ionic Liquids-Based Extraction: A Promising Strategy for the Advanced Nuclear Fuel Cycle
Sun, X., Luo, H., & Dai, S. (2012) · Chemical Reviews · doi:10.1021/cr200193x · Cited by 852
Patil, A. B., Pathak, P. N., Shinde, V. S., Alyapyshev, M. Y., Babain, V. A., & Mohapatra, P. K. (2015) · Journal of Radioanalytical and Nuclear Chemistry · doi:10.1007/s10967-015-4028-2 · Cited by 19
Metadata
- Authors
- Nakashima, K., Kubota, F., Maruyama, T., & Goto, M.
- Venue
- Industrial & Engineering Chemistry Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2005-05-07
- Volume
- 44
- Issue
- 12
- Pages
- 4368-4372
- ISSN
- 0888-5885 (ISSN-L)
- 1520-5045
- OpenAlex
- W2048833773
- Cited by
- 287
- References
- 1
- FWCI
- 29.31
- Type
- journal article
- Language
- en
- Open access
- closed
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- Nakashima, K., Kubota, F., Maruyama, T., & Goto, M. (2005). Feasibility of Ionic Liquids as Alternative Separation Media for Industrial Solvent Extraction Processes. Industrial & Engineering Chemistry Research. https://doi.org/10.1021/ie049050t
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
