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Record W58015456 · doi:10.1002/9781118523360.ch8

Two‐Phase Partitioning Bioreactors

2013· other· en· W58015456 on OpenAlexaff
Hala Fam, Andrew J. Daugulis

Bibliographic record

Venuenot available
Typeother
Languageen
FieldChemical Engineering
TopicOdor and Emission Control Technologies
Canadian institutionsQueen's University
Fundersnot available
KeywordsBioreactorBiodegradationPolymerAqueous solutionChemical engineeringSCALE-UPPhase (matter)ChemistryMaterials scienceProcess engineeringChromatographyOrganic chemistry

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.036
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0370.002

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.

Opus teacher head0.016
GPT teacher head0.269
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations7
Published2013
Admission routes1
Has abstractyes

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