Rapid fingerprinting of 239Pu and 240Pu in environmental samples with high U levels using on-line ion chromatography coupled with high-sensitivity quadrupole ICP-MS detection
Bibliographic record
Abstract
A simple, rapid on-line analytical method for the determination of plutonium (Pu) isotopes in soil and sediment samples was developed. Microwave leaching was used to extract Pu from the major sample matrix. L-Ascorbic acid was found to be the most appropriate agent to convert all the Pu to Pu(IV) for chromatography. Flow injection chromatography using TEVA resin was optimized to separate, preconcentrate and elute Pu from other constituents of the sample including 238U. An APEX desolvation unit with a PEEK Mira Mist nebuliser was used to minimize clogging and hydride interferences. The advantage of using a high sensitivity quadrupole ICP-MS instrument for Pu detection was demonstrated. The detection limit was found to be 3 and 0.3 pg kg−1 for 239Pu and other Pu isotopes, respectively, which corresponds to a theoretical detection limit of ∼10 mBq kg−1 for 239+240Pu. To demonstrate the applicability of the method, Pu activities and atom ratios were measured for different sediments from the northern Asian region.
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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) | 0.001 | 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 | 0.000 |
| 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".