Hydrodynamics Modeling of Bioclogging in Waste Gas Treating Trickle-Bed Bioreactors
Bibliographic record
Abstract
Removal of hazardous organic compounds from waste gases in co-current gas−liquid downflow trickle-bed bioreactors can result in bed clogging as a result of biomass accumulation. Such biomass growth permanently reshapes the bed pore structure and leads to progressive bed obstruction often accompanied by an increase in pressure drop. A predictive dynamic model linking two-phase hydrodynamics to the space-time distribution of bioclogging and biokinetics in trickle-bed bioreactors for waste gas treatment was developed on the basis of the volume-average mass, momentum, and species balance equations coupled with classical diffusion/bioreaction equations to describe biofilm evolution. The model, which includes effects of liquid holdup/layer and biomass loss (via biomass decay and physical shearing), could be very helpful for determining the operating conditions that reduce biological clogging. Toluene degradation using biodegrading microbes immobilized on diatomaceous earth biological support media was chosen for a case study to illustrate the influence of biomass accumulation on bioreactor hydrodynamics.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".