Kinetics of Photoelectrocatalytic Degradation of Nitrophenols on Nanostructured TiO<sub>2</sub> Electrodes
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Bibliographic record
Abstract
In the present work, titanium oxide (TiO 2 ) nanotubes were directly grown by the electrochemical oxidation of titanium substrates at 20 V in a nonaqueous electrolyte (DMSO/HF). The morphology and microstructure of the synthesized TiO 2 photocatalysts were characterized by scanning electron microscopy (SEM) and X-ray diffraction (XRD). The kinetically photoelectrochemical degradation of 2-nitrophenol (2-NPh) and 4-nitrophenol (4-NPh) at the TiO 2 nanotubes was examined, individually and when they were mixed together. It was found that the photoelectrochemical degradation of 2-NPh is faster than that of 4-NPh. In order to determine the kinetic behavior of 2-NPh and 4-NPh in the course of the photoelectrocatalytic oxidation of their mixtures, an experimental design with 36 samples and a test set with 6 samples were used to build up a partial least-squares (PLS) model. The degradation of both 4-NPh and 2-NPh became slower in the binary mixture compared with the individual degradation rates of the 4-NPh and 2-NPh. The present work has demonstrated that UV−vis spectroscopy coupled with PLS calibration can be used to in situ monitor the concentration changes, providing a novel approach to determine the competitive effects of different organic pollutants during water purification and wastewater treatment.
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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 | 0.000 | 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) | 0.000 | 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