L-Leucine Propyl Ester–Fatty Acid-Based Pseudo-Protic Ionic Liquids: Synthesis, Extraction Ability, and Ecotoxicity Prediction by Machine Learning
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- MAGHFIRAH Ainul
- Department of Applied Chemistry, Graduate School of Engineering, Kyushu University
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- FAJAR Adroit T.N.
- Center for Energy Systems Design (CESD), International Institute for Carbon Neutral Energy Research (WPI-I2CNER), Kyushu University
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- WAKABAYASHI Rie
- Department of Applied Chemistry, Graduate School of Engineering, Kyushu University
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- GOTO Masahiro
- Department of Applied Chemistry, Graduate School of Engineering, Kyushu University
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Description
<p>We synthesized low-toxicity L-leucine propyl ester linoleate and L-leucine propyl ester oleate pseudo-protic ionic liquids (ILs) for benign extraction of Ni(II), Co(II), and Mn(II). The extraction ability order for both ILs was Ni(II) > Co(II) > Mn(II). In addition, we developed a machine learning model with an eXtreme Gradient Boosting regressor algorithm to evaluate and predict the ecotoxicity level of the ILs. An evaluation of the proposed regression model by cross-validation indicates that the model is reliable, with an R2 value of 0.71. The prediction results indicate that the newly synthesized ILs are much less toxic than a commercially available IL (methyltrioctylammonium chloride) that is often used for metal extraction. </p>
Journal
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- Solvent Extraction Research and Development, Japan
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Solvent Extraction Research and Development, Japan 31 (1), 31-40, 2024
Japan Association of Solvent Extraction
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Details 詳細情報について
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- CRID
- 1390018075698650112
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- NII Book ID
- AA11114608
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- ISSN
- 21884765
- 13417215
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- NDL BIB ID
- 033553023
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL Search
- Crossref
- OpenAIRE
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- Abstract License Flag
- Disallowed