<i>Sargassum horneri</i>‐based carbon‐doped <scp>TiO<sub>2</sub></scp> and its aquatic naphthalene photodegradation under sunlight irradiation
Why this work is in the frame
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Bibliographic record
Abstract
Abstract BACKGROUND During the past two decades, aquatic polycyclic aromatic hydrocarbon (PAH) contamination has gained more and more attention, because of carcinogenicity or mutagenicity, toxicity, persistence and bioaccumulation, and a huge threat posed to entire ecosystems. RESULTS Sargassum horneri ( SH )‐based carbon was pretreated with ethanol and formaldehyde, and obtained after pre‐carbonization using H 2 SO 4 . The SH carbon powder was used to immobilize nano‐TiO 2 in aquatic environment by a facile sol–gel method. The resulting C/TiO 2 catalyst was applied to photocatalytic aquatic naphthalene degradation under sunlight and showed the best naphthalene degradation performance of 83.77% under simulated sunlight, which could be attributed to the shape and structure contribution originating from SH . C/TiO 2 served as both adsorbent and catalyst in the degradation process of naphthalene, and the photodegradation process conformed to a double‐exponential kinetic model, indicating that there are physical and chemical processes involved in the degradation. The mechanism for enhanced photocatalytic activity was verified as a synergistic mechanism resulting from SH ‐based carbon and TiO 2 , and showed industrial potential for removal aquatic PAH pollutants. CONCLUSIONS This study verifies that the synergistic effect resulting from SH ‐based carbon and TiO 2 enhanced the photocatalytic performance. © 2021 Society of Chemical Industry (SCI).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| 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