Scalable Dialysis-Based Method for the Isolation of Strontium from Milk for Radioanalysis
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide An ashless dialysis-based method for the convenient and timely removal of strontium from milk for radioanalysis has been described for samples ranging from 100 to 500 mL following a brief (30 min) treatment with formaldehyde solution. Overall strontium recovery is suitably high and remarkably consistent across all sample sizes (81–84%), with the final isolation of strontium from milk comfortably achieved within 32 h. For strontium carrier quantification and quality assurance purposes, two chromatographic high-pressure ion chromatography methods were developed to fully resolve strontium from the cationic mineral constituents of milk, as well as yttrium, while method validation was performed with a certified reference material (IAEA-152 milk powder) containing strontium-90. This methodology is highly amenable to concurrent multisample processing which, considering its scalability, makes it well-suited to environmental surveillance of radiostrontium in milk for both routine and emergency response applications.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".