Environmental Fate of Triethylene Glycol Dinitrate
Bibliographic record
Abstract
Triethylene glycol dinitrate (TEGDN) is an energetic plasticizer presently used in the synthesis of new insensitive formulations. However, little is known about its environmental fate and impact. In the present study, we measured several environmental physicochemical parameters that are necessary to predict the fate and impact of the chemical in the environment. High solubility of TEGDN in water (7,430 mg L−1 at 25 °C), its low log Kow value (0.79), and low Kd values (0.09–0.78 L kg−1) suggest that TEGDN will be very mobile in soils. We also investigated the kinetics and mechanisms of several degradation processes likely to occur in the environment. Hydrolysis and degradation in sterile soils were found to be very slow. No significant biological transformation was detected after 3-month incubation in soils under aerobic conditions. Photolysis was the fastest process to take place with a rate of 0.049 day−1 (t1/2 = 14 days) and 0.031 day−1 (t1/2 = 22 days) at 25°C in the dissolved or dry form, respectively. Nitrate, formaldehyde, and formate were the major photoproducts. Glyoxal, glycolaldehyde, and polycondensation products were also observed in the absence of water.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".