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Record W2161381331 · doi:10.1002/cjce.5450790513

The use of partitioning bioreactors for the treatment of high‐concentration benzene solutions

2001· article· en· W2161381331 on OpenAlexafffundvenue
Jennifer Louie, Andrew J. Daugulis, Sung‐Ho Yeom

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2001
Typearticle
Languageen
FieldChemical Engineering
TopicOdor and Emission Control Technologies
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsBenzeneAqueous solutionChemistryAqueous two-phase systemNuclear chemistryEnvironmental chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Aqueous solutions containing high concentrations ( circa 1000 mg/L) of benzene can be treated biologically through the intervention of organic 'sponges'. In reality these sponges are immiscible and biocompatible organic solvents that can be added in very low volumes, and act to draw benzene out of the aqueous phase, reducing levels appropriate for biological treatment. As the organisms consume benzene, the sponges release additional substrate to maintain an equilibrium relationship between the two phases, and this rate is determined by the metabolic activity of the cells. We have used 1‐actadsene as the organic sponge, and Klebsiella sp. as the degradative organism to consume 1000 mg/L of benzene in 12 h. By draining the aqueous phase to 10% of its original volume (and letting it serve as an inoculum), additional benzene solutions, at 1000 mg/L, can be reintroduced to the system, and the action of the sponge used a second, and subsequent times, to control benzene levels and benzene delivery to the organisms.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score0.197

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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.

Opus teacher head0.040
GPT teacher head0.219
Teacher spread0.178 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations4
Published2001
Admission routes3
Has abstractyes

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