Indoor Lighting Releases Gas Phase Nitrogen Oxides from Indoor Painted Surfaces
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide The indoor environment provides unique surfaces and lighting conditions which affect the photochemistry taking place there. As indoor illumination sources typically output wavelengths too long to affect gas phase photochemistry, the potential for surface photochemistry induced by indoor light sources has been mostly unexplored. In this proof of concept study, we report the emission of gas phase nitrogen oxides as a product of the illumination of glass surfaces coated with nitrate-doped TiO 2 and nitratedeposited on indoor paint, using a variety of common indoor light sources. Fluorescent, incandescent, halogen, and LED lights were studied, and a xenon lamp was used for baseline measurements. NO x was emitted from all samples, thus establishing that renoxification can occur in indoor environments. NO 2 (g) was the predominant species emitted from samples coated with nitrate-doped TiO 2, and NO (g) was the predominant species emitted from nitrate-deposited painted glass surfaces. It was also found that heating from the light sources had no effect on the production of NO x . This preliminary study establishes the potential for heterogeneous photochemistry to occur on real indoor surfaces and opens the way for further research to be conducted under realistic indoor conditions.
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.
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".