Simplified sample preparation procedure for measuring isotope-enriched methylmercury by gas chromatography and inductively coupled plasma mass spectrometry
Bibliographic record
Abstract
Many procedures have been developed to measure the concentration of monomethylmercury (MeHg) from different sample matrices, and the use of stable isotopes of mercury now provides opportunities to determine its formation and degradation rates. Here, a modified procedure for measuring mercury isotopes in sediment samples that uses acid leaching-ion exchange-thiosulfate extraction (TSE) to isolate and purify the methylated mercury from the matrix is proposed. The latter is followed by aqueous-phase ethylation, purge and trap on Tenax, gas chromatography separation of ethylated mercury compounds, and inductively coupled plasma mass spectrometry detection. The new TSE procedure bridges together two well-known methods, the acid-leaching and distillation-derivatization procedures, offering the advantages of artifact-free formation of the first, and low detection limits and the possibility of quantification of individual isotopes of mercury of the second. The modified procedure retains the derivatization, purge and trap, and gas chromatography and inductively coupled plasma mass spectrometry (GC-ICP-MS) detection steps from the distillation-derivatization procedure, and eliminates the distillation step, which is not only laborious but also expensive, due to the high cost of installation and time-consuming cleaning process. Major advantages of the TSE procedure proposed include the extraction and analysis of a large number of samples in a short time, excellent analyte recoveries, and the lack of artifact formation. Sediment certified reference materials (CRMs), BCR 580 and IAEA 405, were used to test the TSE procedure accuracy. Recoveries between 94 to 106% and 95 to 96% were obtained for CRMs and spiked samples (Milli-Q(R) water), respectively. Comparisons among thiosulfate extraction, distillation, and acid-leaching procedures have shown good agreement of methylmercury values.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.005 |
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".