Optical Spectroscopy Study of Lanthanide Organic Phase Complexes in the TALSPEAK Separations Process
Bibliographic record
Abstract
Time-Resolved Laser-Induced Fluorescence (TRLIF) and IR spectroscopy have been applied to characterize Eu 3+ complexes with di-(2-ethylhexyl)phosphoric acid (HDEHP) and 2ethylhexyl phosphonic acid mono-2-ethylhexyl ester (HEH [EHP]) formed in the extraction of Eu 3+ under TALSPEAK conditions.Emission spectra indicate no significant intensity changes for the 5 D 0 → 7 F 1 transition (590-600 nm) or for the hypersensitive transition 5 D 0 → 7 F 2 (615-620 nm) in the 0.2 M, 0.5 M and 2.0 M HDEHP systems at low concentrations of Eu 3+ (0.001 M).In contrast, as the Eu 3+ concentration increases the 5 D 0 → 7 F 1 transition singlet is seen to split into a doublet with a large increase in intensity observed for both the 5 D 0 → 7 F 1 and the 5 D 0 → 7 F 2 electronic transitions.It is also noted that isobestic points are present in both electronic transitions.These results indicate the existence of multiple Eu 3+ coordination environments and an overall reduction in symmetry of the extracted Eu 3+ complex.Luminescence lifetime measurements indicate that the extracted complexes have no coordinated water molecules.IR spectroscopy results confirm a direct Ln 3+ -lactate interaction in the metal loaded systems.It appears that at high metal loading a species like Ln•Lac(AHA) 2 may dominate the speciation of lanthanide complexes in TALSPEAK extractant phases.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".