Titanium Dioxide‐Mediated Photocatalytic Degradation of Humic Acid under Natural Sunlight
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
In this article, photocatalytic degradation of humic acid, a predominant type of natural organic matter present in ground and surface waters, was conducted using a commercial titanium dioxide catalyst under natural sunlight irradiation in a batch photoreactor. Various parameters, such as photocatalyst loading, pH value, irradiation intensity, initial concentration, and illumination time, had a significant influence on humic acid removal. The adsorption isotherm of TiO2 dosage fit to Langmuir's isotherm equation well, and the reaction kinetics of initial dissolved organic carbon (DOC) concentration increased with the increase of TiO2 dosage but decreased with the increase of initial DOC. The mineralization of humic acid revealed that the large molecular weight organics with aromatic and hydrophobic properties were removed, while the most persistent components were the shortest UV-absorbing and hydrophilic low-molecular-weight compounds. This study indicates that the solar/ TiO2 photocatalytic degradation is a promising process for humic acid removal from water.
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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 | 0.001 | 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) | 0.002 | 0.004 |
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