Bibliographic record
Abstract
Two phase partitioning bioreactors (TPPBs) which incorporate a liquid or solid non-aqueous phase (NAP), in addition to the cell-containing aqueous phase, have demonstrated enhanced biodegradation of VOCs compared to single phase systems. TPPBs have shown superior operation during steady state and, in particular, transient operation in both mechanically agitated and air-lift systems. In addition to providing a means of detoxifying high VOC loadings to biotreatment systems, TPPBs enhance the mass transfer of oxygen and poorly soluble gaseous in the presence of the NAP. Critical properties of the NAP include high partitioning of the substrate, biocompatibility and non-biodegradability, ease of operation and low cost. Silicone oil has been the most widely used liquid NAP to date and possesses some of these properties, although it is somewhat limited to the treatment highly hydrophobic VOCs, and questions also remain about its handling/losses and cost. Solid NAPs in the form of amorphous polymer beads operate exactly as do liquid NAPs, absorbing and releasing target molecule based on satisfying cellular metabolic demand and thermodynamic equilibrium, while meeting the above NAP requirements and providing effective VOC treatment. Current concerns regarding the use of polymer NAPs are potentially reduced diffusivity of the VOCs into the polymer. In order to achieve full-scale implementation of TPPBs for VOC removal, additional investigations that confirm satisfactory performance under fluctuating operating conditions are required, as well as those that involve long-term and robust operation.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".