Theoretical study on the OH-initiated atmospheric reaction of <i>N</i>-methyl perfluorobutane sulfonamidoethanol (C<sub>4</sub>F<sub>9</sub>SO<sub>2</sub>N(CH<sub>3</sub>)CH<sub>2</sub>CH<sub>2</sub>OH)
Bibliographic record
Abstract
N-methyl perfluorobutane sulfonamidoethanol (NMeFBSE), a new product of the 3M Company, is currently widely used in many countries and territories. It is prone to volatilize to the atmosphere where it can undergo long-range transport and chemical transformations. In this work, the reaction mechanism for the OH-initiated atmospheric oxidation of NMeFBSE was investigated. The geometrical parameters and vibrational frequencies of all of the stationary points were calculated at the MPWB1K level with the 6-31G+(d,p) basis set. Single-point energy calculations were carried out at the MPWB1K/6-311+G(3df,2p) level. The results indicate that the channel of the formation of C4F9 and HSO3N(CH3)CH2CH2OH resulting from OH addition to NMeFBSE and hydrogen abstractions from the −CH3 group in NMeFBSE are energetically favorable. The main degradation products include perfluorinated carboxylic acids (C3F7COOH, C2F5COOH, CF3COOH), HSO3N(CH3)CH2CH2OH, NMeFBSA (C4F9SO2NH(CH3)), C4F9SO2N(CH3)CH2CHO, and C4F9SO2N(CH3)CH2COOH. The reaction mechanism for the formation of NMeFBSA is reported for the first time. Using the atmospheric fate of NMeFBSE as a guide, it seems that N-methyl perfluorooctane sulfonamidoethanol (NMeFOSE) contributes to the ubiquity of perfluoroalkyl sulfonate and carboxylate compounds in the atmosphere.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".