Enhanced Photocatalytic Properties of All-Organic IDT-COOH/O–CN S-Scheme Heterojunctions Through π–π Interaction and Internal Electric Field
Bibliographic record
Abstract
Herein, we present a distinct methodology for the in situ electrostatic assembly method for synthesizing a conjugated (IDT-COOH)/oxygen-doped g-C 3 N 4 (O–CN) S-scheme heterojunction. The electron delocalization effect due to π–π interactions between O–CN and self-assembled IDT-COOH favors interfacial charge separation. The self-assembled IDT-COOH/O–CN exhibits a broadened visible absorption to generate more charge carriers. The internal electric field between the IDT-COOH and the O–CN interface provides a directional charge-transfer channel to increase the utilization of photoinduced charge carriers. Moreover, the active species ( • O 2 –, h +, and 1 O 2 ) produced by IDT-COOH/O–CN under visible light play important roles in photocatalytic disinfection. The optimum 40% IDT-COOH/O–CN can kill 7-log of methicillin-resistant Staphylococcus aureus (MRSA) cells in 2 h and remove 88% tetracycline (TC) in 5 h, while O–CN only inactivates 1-log of MRSA cells and degrades 40% TC. This work contributes to a promising method to fabricate all-organic g-C 3 N 4 -based S-scheme heterojunction photocatalysts with a wide range of optical responses and enhanced exciton dissociation.
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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) | 0.000 | 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) | 0.001 | 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".