Self-regulated interfacial-enhanced piezo-phototronic effect of BNT@Mn-SnO2 heterostructures for superlative tetracycline degradation
Bibliographic record
Abstract
The piezo-promoted photocatalysis has recently been evolved as an auspicious technique to achieve high-efficiency and scalable organic pollutant degradation. Herein, a visible light active heterocomposite BNT@Mn-SnO 2 (BSM) with plate-like Bi 0.5 Na 0.5 TiO 3 (BNT) perovskite and Mn Nps decorated SnO 2 was synthesized for the piezo-photocatalytic degradation of Tetracycline (TC). The piezo-photocatalytic degradation efficiency of TC reached 95.4% in 60 min, and the rate constant k reaches 0.078 min −1 which is 13 times and 2.8 times higher than the piezocatalytic and photocatalytic k values, individually. The meticulous built-in electric field regulation of BNT modified the band-gap structure and induced efficient charge separation in BSM nanocomposite. Furthermore, the plasmonic effect of the Mn Nps tuned the band-edge positions of SnO 2 by introducing impurity energy levels and provided an alternative source of charge storage, and amplified the light absorption range of BSM nanocomposite. The oxidative species, particularly OH • played a substantial role in the piezo-photodegradation process than O 2 •- and 1 O 2 . Besides, the toxicity evaluation revealed that the self-regulated interfacial-enhanced piezo-phototronic effect of BSM nanocomposite can deliberately reduce the ecotoxicity level into smaller and non-toxic compounds. This work provides a novel strategy to design efficient and sustainable piezo-photocatalysts for environmental remediation.
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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".