Continuous Toluene Vapor Remediation in a Well‐Mixed Bioreactor
Bibliographic record
Abstract
Abstract Mass transfer and bioremediation of toluene from a contaminated air stream has been investigated using a continuous flow, stirred tank bioreactor. The toluene mass transfer coefficients varied from 3.1 to 3.8 h −1 as the agitation speed increased from 300 to 600 rpm. Using a pure culture, toluene could not be continuously bioremediated as a sole substrate. When ethanol was used as a cosubstrate, toluene was continuously captured and bioremediated at rates up to 90 mg/L·h with removal efficiencies up to 90%, while ethanol was simultaneously degraded at rates up to 250 mg/L·h. Using benzyl alcohol as the cosubstrate, toluene removal efficiencies were above 97% at continuous loading rates of 90 mg/L·h and benzyl alcohol loading rates up to 300 mg/L·h.
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 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 | 0.000 | 0.001 |
| 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 | 0.001 |
| 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 teacher head, 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".