2- and 3-Monochloropropanediols in paper products and their transfer to foods
Bibliographic record
Abstract
The occurrence of 2- and 3-monochloropropanediol (MCPDs) in selected paper products sold on the Canadian market and the transfer of 3-MCPD from those products to beverages was probed. Products included coffee filters, tea bags, disposable paper hot beverage cups and milk packaged in paperboard containers. The occurrence MCPDs in coffee and tea filters on the German market was investigated as well. Furthermore, the presence of MCPDs in paper towels on the German market was also investigated. Analytes were determined by stable isotope dilution analysis GC-MS in SIM mode. 3-MCPD was detected in most paper products with levels ranging from a few nanograms in tea bags to a few micrograms in white coffee filters. Milk containers' paperboard contained 3-MCPD at about 500-1500 ng g(-1); however, 3-MCPD was detected in milk only in smaller containers, 237-500 ml (likely due to a lower volume/surface ratio) at levels of about 1 ng g(-1). Out of three disposable hot beverage paper cups tested (of 237-473 ml capacity), paperboard of two contained 3-MCPD at 632-792 ng g(-1), and 3-MCPD was detected in leachate from those paper cups at levels of about 16 ng per cup. 3-MCPD was detected in all paper towels at levels of 42-2466 ng g(-1). 2-MCPD was detected in many paper products (from Canadian and German sources) and in all the towels tested at levels varying from about 0.5-10% of that of 3-MCPD.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".