Temperature Effects on the Vacuum-UV (VUV)-Initiated Oxidation and Mineralization of Organic Compounds in Aqueous Solution Using a Xenon Excimer Flow-through Photoreactor at 172 nm
Bibliographic record
Abstract
The 172 nm irradiation of aqueous solutions of organic compounds with a xenon excimer (Xe2∗) flow-through photoreactor leads to the oxidation and mineralization of the organic content of the water. In view of potential technical applications, it is of fundamental interest to investigate temperature effects on the efficacy of these processes. Therefore, water samples containing Rhodamin B (RhB) or methanol as model substrates were vacuum-UV (VUV) irradiated under controlled thermal conditions. The pseudo–first-order bleaching kinetics of RhB solutions and the pseudo–zero-order reaction kinetics of oxidation and mineralization of aqueous methanol solutions were quantitatively established by UV/Vis spectrophotometry, by measurement of the methanol concentration using capillary gas chromatography and the total organic carbon (TOC) content of the solutions, respectively. In the water temperature range from 20 to 50°C no significant effects on the pseudo–first-order rate constant of RhB bleaching (kRhB) and the pseudo–zero-order rate constants of methanol oxidation (kMeOH) and TOC diminution (kTOC) were observed with our particular flow-through photoreactor system using a Xe2∗ excilamp.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".