Graphite furnace atomic absorption spectrometry as a routine method for the quantification of beryllium in blood and serum
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: A routine method for the quantification of beryllium in biological fluids is essential for the development of a chelation therapy for Chronic Beryllium Disease (CBD). We describe a procedure for the direct determination of beryllium in undigested micro quantities of human blood and serum using graphite furnace atomic absorption spectrometry. Blood and serum samples are prepared respectively by a simple 8-fold and 5-fold dilution with a Nash Reagent. Three experimental setups are compared: using no modifier, using magnesium nitrate and using palladium/citric acid as chemical modifiers. RESULTS: In serum, both modifiers did not improve the method sensitivity, the optimal pyrolysis and atomization temperatures are 1000 degrees C and 2900 degrees C, respectively. In blood, 6 microg of magnesium nitrate was found to improve the method sensitivity. The optimal pyrolysis and atomization temperatures were 800 degrees C and 2800 degrees C respectively. CONCLUSION: In serum, the method detection limit was 2 ng l(-1), the characteristic mass was 0.22 (+/- 0.07) pg and the accuracy ranged from 95 to 100%. In blood, the detection limit was 7 ng l(-1), the characteristic mass was 0.20 (+/- 0.02) pg and the accuracy ranged from 99 to 101%.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 it