Formation and Identification of Intermediates in the Visible-Light-Assisted Photodegradation of Sulforhodamine-B Dye in Aqueous TiO<sub>2</sub> Dispersion
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The photodegradation of dye pollutants under visible light irradiation in TiO2 dispersions continues to draw considerable attention because of the greater effective utilization of solar energy and its potential application in treating wastewaters from textile and photographic industries. To get a better handle on the mechanistics details of this TiO2-assisted photodegradation of dyes with visible radiation, the process was examined by UV-visible spectroscopy, high-performance liquid chromatography, silica gel thin-layer chromatography, and matrix-assisted laser desorption ionization time-of-flight mass spectrometric techniques to separate and identify the N-de-ethylated intermediate products during the photodegradation of N,N,N,N-tetraethylsulforhodamine-B (SRB) in the absence and presence of iodide ions. Five intermediates, namely, N,N-diethyl-N'-ethyl-sulforhodamine, N,N-diethylsulforhodamine, N-ethyl-N'-ethylsulforhodamine, N-ethylsulforhodamine, and sulforhodamine were thus identified. They correspond to intermediate products having a different number of N-ethyl groups, which are removed sequentially from the SRB molecule. The reaction process was accompanied by the oxidation of I- to I3- in the presence of I- ions. Formation of radicals was assessed by spin-trap electron spin resonance spectrometry. The experimental results provided the basis for a more detailed description of the reaction mechanism(s).
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it