First Detection of Photoinitiators and Metabolites in Human Sera from United States Donors
Why this work is in the frame
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Bibliographic record
Abstract
Photoinitiators (PIs), including benzophenones (BZPs), thioxanthones (TXs), and amine co-initiators (ACIs), are commonly used in photopolymerization systems, and their contamination in foodstuffs and the environment is attracting attention. Although humans are likely exposed to PIs, no data on human burdens of these chemicals are available. In this study, 18 PIs were detected in 50 individual human serum samples with concentrations of ΣPIs (sum of the detected PIs) from 423 to 2870 pg/mL (geometric mean, GM: 836 pg/mL). ΣBZPs (231-1240 ng/g,; GM: 593 pg/mL) were the dominant components, while ΣTXs (21.0-1431 ng/g; GM: 145 pg/mL) and ΣACIs (11.3-976 ng/g; GM: 48.5 pg/mL) were much lower. Data analysis found significantly higher concentrations of most PIs in the male sera than in the female ( p < 0.05). ΣPIs (2921-4139 ng/g; GM: 3621 pg/mL) were also detected in five pooled serum samples, each from at least 1000 donors, indicating the prevalent human burdens of PIs in a large population. Human liver S9 biodegradations of representative PIs, 2-isopropylthioxanthone (2-ITX) and 2,4-diethylthioxanthone (DETX), were conducted. Hydroxylation, sulfoxide, and sulfone metabolites of DETX and 2-ITX were identified by high resolution mass spectrometry in human liver S9 incubation systems. With synthesized standards, the sulfoxide and sulfone metabolites were successfully detected in the human serum samples, which contributed substantially to total human burdens. The ubiquitous presence of PIs in human sera indicates significant human exposure to PIs, although photopolymerization reaction has been generally considered a green technology.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| 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