Treatment of VOCs in biofilters inoculated with fungi and microbial consortium
Bibliographic record
Abstract
An experimental study on the removal of xylene vapours from an air stream was conducted on three identical upflow laboratory-scale wood-chips-based bed biofilters. Three different inoculums were used: fungi (Phanerochaete chrysosporium and Cladosporium sphaerospermum), a bacterial consortium (EVB110), and a mixed culture of fungi and EVB 110. The empty bed gas residence time was 59 s, and various inlet concentrations of the contaminant were tested. The results obtained revealed a strong correlation between the average temperature of the biofilter and the intensity of the microbial activity in the filter bed. In addition, the mass of carbon dioxide produced per mass of xylene removed was equal to 3.03, indicating elimination of the pollutant by aerobic biodegradation. The removal rates of xylene in both fungal and bacterial systems were similar up to an inlet load of 100 g m(-3) h(-1). However, a better performance was achieved in the fungal system at higher inlet loads of the pollutant. The maximum elimination capacity achieved in the fungal and bacterial systems was 77 and 58 g m(-3) h(-1), respectively; and an early set-off of the inhibition effects was observed in the latter. The bioreactor inoculated with the mixed culture was the least effective, with a maximum elimination capacity of only 38 g m(-3) h(-1). Problems with microbial population survival and competition among different types of microorganisms could be responsible of this lower performance. The fungal system was also tested for the removal of toluene vapour and achieved a maximum elimination capacity of 110 g m(-3) h(-1).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".