Destruction of Volatile Organic Compounds in Air by a Superimposed Barrier Discharge Plasma Reactor and Activated Carbon Filter Hybrid System
Bibliographic record
Abstract
Abstract Superimposed barrier discharge and activated carbon filter hybrid systems were used to remove toluene and TCE from air streams. The superimposed barrier-discharge consisted of silent and surface discharges. Experiments were conducted for the gas flow rates from 1 to 10 L/min, applied power from 0 to 7 W and toluene and TCE initial concentrations from 0 to 2,000 ppm for 60 Hz ac applied voltage conditions. Discharge by-products were measured by FTIR, GC, and TLV-VOC detectors. The results show that 1) the toluene-decomposition efficiency monotonically increases with increasing applied power; 2) approximately 90% of the toluene is removed by the plasma reactors and up to 98% is removed by the hybrid system; 3) TCE removal is enhanced by the hybrid system and up to 50% is removed by a discharge reactor alone; 4) the pressure drop of the reactor and carbon filter increase with increasing gas flow rate; 5) TCE is decomposed to form CO
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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".