Rapid determination of plutonium in urine using flow injection on-line preconcentration and inductively coupled plasma mass spectrometry
Bibliographic record
Abstract
A rapid technique for the determination of Pu in urine samples using flow injection (FI) on-line preconcentration, desolvation nebulization using a highly sensitive APEX device and inductively coupled plasma mass spectrometry with a dynamic reaction cell (ICP-DRC-MS) was developed. Using the DRC avoided the necessity to separate Pu from U, and thus made the technique more rapid. Effective preconcentration and matrix separation for urine samples was achieved using TRU resin as the ion exchanger. A detection limit for 242Pu of 1.9 pg L−1 was achieved for raw, undigested urine samples using a 10 ml sample volume. The reproducibility of the method was demonstrated by recovery measurements performed on urine that had been collected from several non-exposed volunteers and spiked with Pu. 205Tl and 175Lu were used as an internal standard and yield tracer, respectively. The method provides a rapid (∼11 min) means of measuring Pu in urine with no off-line sample pre-treatment, at levels below the regulatory requirements for drinking water.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".