Development and Validation of Analytical Methods for Ultra-Trace Beryllium in Biological Matrices
Bibliographic record
Abstract
Beryllium (Be) is still not well understood from a toxicological point of view, and studies that involve the determination of different Be compounds species in tissues need to be conducted. In this paper we describe the development and validation of reliable methods for the detection of ultra-trace levels of Be in various biological matrices. Blood and tissues (liver, lung, spleen, and kidney) were used in this study. The samples were digested with a mixture of nitric and perchloric acids for Be and BeAl and an addition of sulfuric acid was made for BeO. The solutions were analyzed by inductively coupled plasma mass spectrometry with (6)Li as internal standard. The detection limits are in the order of 0.02 ng/g for tissue and 0.03 ng/mL for blood, and were compared to existing reference methods. To our knowledge, this is the first study that assesses dissolution of the different Be compounds in biological matrices, while also undergoing a rigorous optimization and complete validation. This method has proven that it is reliable, among the most sensitive available in the literature, and that it can be used in trace toxicological studies for Be.
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How this classification was reachedexpand
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".