Biomimetic Confined Assembly of Plasmonic CuS from Electronic Waste for Rapid Photothermal Disinfection
Bibliographic record
Abstract
Photothermal disinfection (PTD) offers promising potential for water purification due to its sustainable and broad-spectrum bactericidal properties, although it is hindered by slow charge separation in photosensitizers. Herein, we present a plasma-mediated PTD technique utilizing an efficient localized heating effect induced by incident light at specific wavelengths for rapid bacterial inactivation. A metallic CuS photosensitizer, derived from electronic waste through a biomimetic transmembrane confined-assembled strategy, facilitates collective and coherent oscillation of free electrons around Cu atoms in the near-infrared range. The resulting plasmon resonance effect generates abundant high-energy hot carriers, further enhancing the separation efficiency of carriers generated by plasmon-induced intrinsic excitation. The nonradiative dissipation of these carriers triggers a significant localized heating effect in water matrices, leading to comprehensive PTD performance against E. coli and B. subtilis . This study highlights the role of the plasmonic heating effect from waste-derived photosensitizers in enhancing PTD performance, inspiring the development of advanced water disinfection technologies.
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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".