Paint solvent to food additive: An environmental route of dehalogenation for 4-chlorobenzotrifluoride
Bibliographic record
Abstract
In an effort to reduce volatile organic compounds (VOCs) in paint solvents, replacements containing non-VOC compounds have been proposed. One such compound is 4-chlorobenzotrifluoride (CBTF), for which environmental fate studies have not been conducted. The objective of the present study was to determine the products of the atmospheric oxidation of CBTF and the aqueous fate of these products. Smog chamber experiments were performed to measure the kinetics and mechanism of atmospheric oxidation. A rate constant of 2.22 (+/-0.30) x 10(-13) cm3 molecule(-1) s(-1) was determined for the reaction of hydroxyl radicals with CBTF in 700 Torr of air at 296 K. Using offline sampling and gas chromatography coupled to mass spectroscopic analysis, it was determined that 2-chloro-5-trifluoromethylphenol (o-CTFP) was the primary product of CBTF atmospheric oxidation. Aqueous photolysis of o-CTFP in deionized water proceeded at a rate of 1.3 (+/-0.1) x 10(-4) s(-1), corresponding to a half-life of 1.5 +/- 0.1 h and a quantum yield of 6.6 (+/-0.4) x 10(-4). The mechanism of photolysis was investigated using liquid chromatography coupled to tandem mass spectrometry, which suggested that degradation of o-CTFP occurred via photonucleophilic displacement of chlorine, followed by photoinduced hydrolysis of the trifluoromethyl group to yield 3,4-dihydroxybenzoic acid (an approved food additive considered to be nontoxic).
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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 | 0.000 | 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) | 0.001 | 0.001 |
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".