Experimental investigation on bubble dynamic behavior in a confined space bioreactor with bacterial suspension
Bibliographic record
Abstract
Abstract In this work, a confined space bioreactor with bacterial suspension was developed to experimentally investigate the adsorption of microorganisms at the gas–liquid interface and the effects of inner diameter, inclined angle, and gas flow rate on bubble dynamic behavior. The results indicated that the adsorption of microorganisms at the gas–liquid interface was affected by the bacterial chemotaxis and the gas–liquid interface expansion, and the confined space was conducive to accelerate the detachment of smaller bubble and exacerbate the fluctuation of gas–liquid interface. Moreover, the larger inner diameter induced that the bubble was squeezed by the 2 side walls of the confined space bioreactor, restricting the bubble shocking and slowing down the bubble rising velocity for increasing the bubble residence time. Furthermore, the smallest bubble departure size and the shortest inrush time were observed at horizontal capillary orifice, but the largest inrush bubble number was obtained at down‐45° capillary orifice. In addition, the inrush bubble number increased with increasing gas flow rate, but the bubble departure sizes were not much different. The results can be used to optimize the design of aeration system for improving the performance of the bioreactor.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| 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".