Extraction and Separation between Light and Heavy Lanthanides by N,N,N′,N′-Tetraoctyl-diglycolamide from Organic Acid

Sasaki, Yoshiyuki; Matsumiya, Masahiko; Nakase, Masahiko; Takeshita, Kenji

doi:10.1246/cl.200431

Cited by 9 publications

(7 citation statements)

References 11 publications

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“…In addition, the third phase formation also causes flooding in the equipment, which is employed in a solvent extraction process. [20][21][22] In view of these, it is desirable to avoid third phase formation during the course of solvent extraction, especially during trivalent metal ion extraction from HLLW. 21 The HLLW is composed of trivalent actinides, lanthanides, long-lived fission products and other corrosion products in 3-5 M nitric acid medium.…”

Section: Introductionmentioning

confidence: 99%

“…[20][21][22] In view of these, it is desirable to avoid third phase formation during the course of solvent extraction, especially during trivalent metal ion extraction from HLLW. 21 The HLLW is composed of trivalent actinides, lanthanides, long-lived fission products and other corrosion products in 3-5 M nitric acid medium. 1,23 The actinides and radioactive fission products present in HLLW emits the corresponding aand b, g-ionising radiations.…”

Section: Introductionmentioning

confidence: 99%

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The fate of reverse micellar aggregation in irradiated diglycolamide inn-dodecane solution

Parvathy

Prathibha

et al. 2023

New J. Chem.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The fate of reverse micellar aggregation in irradiated diglycolamide inn-dodecane solution

Parvathy

Prathibha

et al. 2023

New J. Chem.

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“… 13 − 15 Extraction performance is also impacted by experimental conditions, including solvent, temperature, and volume of each phase. Organic solvents such as toluene, 6 n-dodecane, 16 1-octanol, 17 and dichloroethane 18 are commonly used to carry out the liquid–liquid separations.…”

Section: Introductionmentioning

confidence: 99%

“…Ligands that show great promise in REE separations include diglycolamides (DGA), − alkylated bis-triazinyl pyridines (BTP), and 2,9-bis-lactam-1,10-phenanthroline (BLPhen), , among others. − Extraction performance is also impacted by experimental conditions, including solvent, temperature, and volume of each phase. Organic solvents such as toluene, n-dodecane, 1-octanol, and dichloroethane are commonly used to carry out the liquid–liquid separations.…”

Section: Introductionmentioning

confidence: 99%

Advancing Rare-Earth Separation by Machine Learning

Liu

Johnson

Jansone‐Popova

et al. 2022

JACS Au

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Constituting the bulk of rare-earth elements, lanthanides need to be separated to fully realize their potential as critical materials in many important technologies. The discovery of new ligands for improving rare-earth separations by solvent extraction, the most practical rare-earth separation process, is still largely based on trial and error, a low-throughput and inefficient approach. A predictive model that allows high-throughput screening of ligands is needed to identify suitable ligands to achieve enhanced separation performance. Here, we show that deep neural networks, trained on the available experimental data, can be used to predict accurate distribution coefficients for solvent extraction of lanthanide ions, thereby opening the door to high-throughput screening of ligands for rare-earth separations. One innovative approach that we employed is a combined representation of ligands with both molecular physicochemical descriptors and atomic extended-connectivity fingerprints, which greatly boosts the accuracy of the trained model. More importantly, we synthesized four new ligands and found that the predicted distribution coefficients from our trained machine-learning model match well with the measured values. Therefore, our machine-learning approach paves the way for accelerating the discovery of new ligands for rare-earth separations.

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“…[5][6][7][8][9] Solvent extraction is one of the most powerful tools for separation and various extractants, including organophosphate compounds and β-diketones, have been developed. [10][11][12][13][14][15] Among them, diglycolamides (DGA) are known to possess high extraction and separation ability for Ln, [16][17][18][19] and can extract Ln from acid solutions. One of the important properties is gasification by combustion, due to CHON compounds.…”

Section: Introductionmentioning

confidence: 99%

Separation of Light and Middle Lanthanides Using Multistage Extraction with Diglycolamide Extractant

2021

Self Cite

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We investigated the chemical behavior of lanthanides (Ln) by multistage extraction. Using 10 aqueous phases with Ln and 3 organic phases, we drew the breakthrough curves for light and middle Ln. Our study reveals that the limit of metal extraction depends on their D values and the metal concentration employed in experiments. From the multistage extractions of 15 stage aqueous phases and 15 stage organic phases, three curves (extraction curves, back-extraction curves, and separation curves) were obtained. Setting appropriate conditions, adequate separation of light Ln from middle ones can be achieved. As an example, under the condition of the separation curve experiment (aqueous phase: 0.5 M HNO3, organic phase: 0.1 M TDDGA (N,N,N′,N′-tetradecyl-diglycolamide) in n-dodecane), the recovery of more than 99% of Sm in the organic phase with less than 1% of Nd can be obtained, even in the case of two metals adjacent to each other in the Ln series.

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Extraction and Separation between Light and Heavy Lanthanides by N,N,N′,N′-Tetraoctyl-diglycolamide from Organic Acid

Cited by 9 publications

References 11 publications

The fate of reverse micellar aggregation in irradiated diglycolamide inn-dodecane solution

The fate of reverse micellar aggregation in irradiated diglycolamide inn-dodecane solution

Advancing Rare-Earth Separation by Machine Learning

Separation of Light and Middle Lanthanides Using Multistage Extraction with Diglycolamide Extractant

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