Self-regulated interfacial-enhanced piezo-phototronic effect of BNT@Mn-SnO2 heterostructures for superlative tetracycline degradation
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
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.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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