Study on the adsorption–desorption behaviours of La <sup>3+</sup> , Sm <sup>3+</sup> , and <scp> Y <sup>3</sup> </scp> <sup>+</sup> by <scp>HEHEHP</scp> extraction resin in chloride medium
Bibliographic record
Abstract
Abstract The adsorption–desorption behaviours of La 3+ , Sm 3+ , and Y 3+ on 2‐ethylhexylphosphonic acid mono‐2‐ethyl hexyl ester (HEHEHP) extraction resin were investigated in a chloride medium. The effects of reaction time, pH, hydrochloric acid concentration, flow rate, and adsorption mechanism were studied in detail using static and dynamic experimental methods. The results show that La 3+ is the first to reach adsorption equilibrium, followed by Sm 3+ and Y 3+ ; the highest adsorption capacities of La 3+ , Sm 3+ , and Y 3+ are obtained at solution pH of 4 and in the order of Y 3+ > Sm 3+ > La 3+ . La 3+ , Sm 3+ , and Y 3+ can be eluted by 0.3, 0.5, and 3 mol/L hydrochloric acid, respectively, indicating that La 3+ elutes most easily, and Y 3+ is difficult. Moreover, the flow rate has little effect on the peak of rare earth desorption. The adsorption process is chemisorption; the slope method indicates that for each mol Sm 3+ or Y 3+ ion adsorbed, 3 mol H + ions are simultaneously released, but two for La 3+ under the given pH conditions. It is expected to provide theoretical and technical support for preparation of ultra‐high purity rare earth by HEHEHP extraction resin.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.001 | 0.001 |
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".