The extraction of trivalent actinides and lanthanides by a novel unsymmetrical diglycolamide

He, Xihong; Wang, Xinyao; Cui, Yaru; Su, Zhe; Guoan, Ye; Lu, Chun Hua; Li, Linbo

doi:10.1007/s10967-021-07867-w

Cited by 5 publications

(9 citation statements)

References 35 publications

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“…It can be seen that the extraction of Nd(III) in organic phase increases with increase in the concentration of Nd(III) in aqueous phase followed by saturation in the loading of Nd(III) in organic phase at 8 g/L (∼ 0.05 M). This value corresponds to the formation of 1 : 4 Nd(III) to D 3 DODGA complex in organic phase, which is in good agreement with the stoichiometry of trivalent Am-(III) : D 3 DODGA reported by Ravi et al [24][25][26] It is important to note from Figure 8 that there is no third phase formation in organic phase even after contacting the organic phase with aqueous solution containing 40 g/L Nd(III) in 3 M nitric acid. This value is much higher than the total amount of lanthanides and actinides (3 to 6 g/L) present in the high-level liquid waste arising from fast reactor fuel reprocessing.…”

Section: Extraction Behaviour Of Nd(iii) From Nitric Acidsupporting

confidence: 91%

“…In order to overcome this limitation, advanced diglycolamides like N,N-dioctyl-N',N'-didodecyl diglycolamide (D 3 DODGA) and other DGAs have been developed and studied for An(III) and Ln(III) extraction from nitric acid and simulated wastes. [24][25][26] The results revealed that D 3 DODGA does not form third phase during the extraction of trivalent metal ions from nitric acid solutions representing HLLW unlike TODGA and TEHDGA and therefore D 3 DODGA/n-DD is regarded as a promising solvent for the extraction of trivalent actinides from HLLW. In addition, a good extractant should also possess good radiation stability when it is proposed for nuclear reprocessing applications.…”

Section: Introductionmentioning

confidence: 96%

“…The popular ligands like TODGA and TEHDGA form third phase with 5–6 M nitric acid and with traces of trivalent metal ion present in 3–4 M nitric acid. In order to overcome this limitation, advanced diglycolamides like N , N ‐dioctyl‐ N ’, N ’‐didodecyl diglycolamide (D 3 DODGA) and other DGAs have been developed and studied for An(III) and Ln(III) extraction from nitric acid and simulated wastes [24–26] . The results revealed that D 3 DODGA does not form third phase during the extraction of trivalent metal ions from nitric acid solutions representing HLLW unlike TODGA and TEHDGA and therefore D 3 DODGA/ n ‐DD is regarded as a promising solvent for the extraction of trivalent actinides from HLLW.…”

Section: Introductionmentioning

confidence: 99%

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Insights into the Third Phase Formation Behaviour of N,N‐Didodecyl‐N’,N’‐Dioctyl Diglycolamide in n‐Dodecane Investigated by Dynamic Light Scattering and FTIR Spectroscopy

et al. 2022

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N,N‐didodecyl‐N’,N’‐dioctyl diglycolamide (D3DODGA) was regarded as a promising ligand for the extraction of trivalent lanthanides and actinides from nuclear waste, owing to the absence of undesirable third phase formation during liquid‐liquid extraction. However, the reason for the absence of third phase formation in D3DODGA as compared to other diglycolamides was not known. To unravel the absence of third phase formation, the extraction behaviour of nitric acid and Nd(III) in 0.2 M D3DODGA in n‐dodecane (n‐DD) was studied and the reverse micellar aggregation behaviour of the organic phase was probed by dynamic light scattering (DLS) and FTIR spectroscopy. The results were compared with those obtained in popular ligands abbreviated as TODGA, TEHDGA and TDdDGA in n‐dodecane under similar conditions. The limiting reverse micellar aggregate size for third phase formation was determined to be 11.6 nm at the limiting nitric acid concentration of 0.54 M in organic phase. The investigations revealed that the absence of third phase in D3DODGA and TDdDGA was due to the presence of long chain dodecyl group attached to the molecule, as compared to the octyl moiety present in TODGA and TEHDGA. As a result, it was possible to load higher concentration of nitric acid or Nd(III) in D3DODGA without the problem of third phase formation. In view of this, the D3DODGA in n‐DD can be employed efficiently for the separation of trivalent actinides and lanthanides from nuclear waste.

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Section: Extraction Behaviour Of Nd(iii) From Nitric Acidsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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Insights into the Third Phase Formation Behaviour of N,N‐Didodecyl‐N’,N’‐Dioctyl Diglycolamide in n‐Dodecane Investigated by Dynamic Light Scattering and FTIR Spectroscopy

et al. 2022

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“…7 Due to lanthanide contraction, most ligands prefer to bind heavier lanthanides than the lighter ones, because of the decreasing ion size traversing the series. Commercial extractants employ oxygen donors such as tributyl-phosphate (TBP), 8 diglycolamide (DGA), [9][10][11] and bis(2-ethylhexyl) phosphoric acid (D2EHPA). 12 Ligands with N donors such as alkylated bis-triazinyl pyridines (BTP), 13 6,6 ′ -bis-triazinyl-2,2 ′ -bipyridine (BTBP), 14 and 2,9-bistriazinyl-1,10-phenanthroline (BTPhen) 15,16 are also used.…”

Section: Introductionmentioning

confidence: 99%

N-oxide ligands for selective separations of lanthanides: insights from computation

et al. 2023

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“…High D values indicate better extraction efficiency and imply the formation of stable Ln(III) complexes in the organic phase. 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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The extraction of trivalent actinides and lanthanides by a novel unsymmetrical diglycolamide

Cited by 5 publications

References 35 publications

Insights into the Third Phase Formation Behaviour of N,N‐Didodecyl‐N’,N’‐Dioctyl Diglycolamide in n‐Dodecane Investigated by Dynamic Light Scattering and FTIR Spectroscopy

Insights into the Third Phase Formation Behaviour of N,N‐Didodecyl‐N’,N’‐Dioctyl Diglycolamide in n‐Dodecane Investigated by Dynamic Light Scattering and FTIR Spectroscopy

N-oxide ligands for selective separations of lanthanides: insights from computation

Advancing Rare-Earth Separation by Machine Learning

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