Influence of Composition of Ti/SnO<sub>2</sub>-Sb<sub>2</sub>O<sub>5</sub> Anodes on the Kinetics of Electro-Oxidation of Aqueous Organic Species
Bibliographic record
Abstract
SnO2-Sb2O5 coated Ti anodes can be used in the anodic oxidation of organic compounds for wastewater treatment. In this work, different SnO2-Sb2O5 anode compositions were fabricated using various techniques, such that the composition of the coating was varied from a SnO2-based to a Sb2O5 based material. These anodes were tested for the activity in the electro-oxidation of oxalic acid, which served as a model organic compound in wastewater. The activity of the anodes was correlated to the Sb doping level in the coating films. Specifically, the variation in the coverage of electrochemically active surface sites was explained by the arrangement of Sn and Sb on the SnO2 surface, and the catalytic activity in organic oxidation was related to the detailed mechanism of electro-catalysis, modeled by considering a two-step oxidation with surface adsorbed intermediates. The modeled kinetics helps explain the behavior of these anodes in the anodic oxidation of oxalic acid.
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 | 0.001 |
| 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 | 0.001 | 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".