Adsorption Behavior of Trace Beryllium (II) onto Metal Oxide Nanoparticles Dispersed in Water
Bibliographic record
Abstract
Radioactive trace 7Be produced in cooling water systems for high-energy accelerators is known to be captured by metal-oxide colloidal nanoparticles generated through corrosion of metal components in water. This study is aimed at investigating the adsorption behavior of trace Be2+ onto various oxide nanoparticles (Al2O3, SiO2, TiO2, Fe2O3, CoO, and CuO) dispersed in water at 25 °C in order to clarify the tendency and features of the interaction of Be2+ with metal oxides. From pH dependence of the distribution ratio of Be2+ between the nanoparticle phase and the aqueous solution phase, the surface complexation constants (βs,n) have been determined for the reaction of Be2+ with the hydroxyl groups on the oxide surface (>S−OH), i.e., Be2+ + n >S−OH ⇄ (>S−O)nBe(2−n)+ + n H+. The n values are generally 1 and 2 and the sequences of the βs,n values are Fe2O3 > TiO2 » Al2O3 > SiO2 for βs,1 and Fe2O3 > TiO2 > SiO2 > Al2O3 >> CoO » CuO for βs,2. The dependences of the the βs,n values on the kind of oxide are explained based on the electronegativity of the metal (or Si) composing the oxide.
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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 | 0.000 | 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 | 0.000 |
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".