Black anatase-TiO2 electrodes for sun-activated photocatalytic degradation of organic water contaminants
Bibliographic record
Abstract
This study presents the synthesis of black anatase in air and its use for the fabrication of a reusable electrode for the photocatalytic degradation of Rhodamine B (RhB) under visible-light. Characterization techniques such as X-ray diffraction, Raman spectroscopy, and Transmission Electron Microscopy (TEM) were used to analyze the properties of black anatase. The immobilization of black TiO 2 on a glass substrate eliminates the need for post-treatment recovery of the photocatalyst. Enhancement of photocatalytic activity was achieved by depositing a 4 nm platinum layer on the black anatase TiO 2 electrode. Activation of the photocatalytic process (λ ≥ 400 nm) was conducted with a solar simulator, and the degradation of RhB was monitored through visible absorption and time-resolved fluorescence spectroscopy, revealing degradation efficiencies of 94 % and 89 % after 40 and 60 min, respectively. These results are attributed to the elevated levels of oxygen vacancies and the Schottky barrier formed between the platinum layer and black anatase. The methodology's simplicity and the significant photocatalytic efficiency suggest potential for widespread application in solar-driven photocatalytic degradation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".