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Record W2022688419 · doi:10.1021/ie010036f

Aerobic Phenol Biodegradation in an Inverse Fluidized-Bed Biofilm Reactor

2001· article· en· W2022688419 on OpenAlex
Katerina Kryst, Dimitre Karamanev

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2001
Typearticle
Languageen
FieldEngineering
TopicMetal Extraction and Bioleaching
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiodegradationBioreactorPhenolDilutionFluidized bedChemistryBiofilmBiomass (ecology)Pulp and paper industryChromatographyChemical engineeringOrganic chemistryBacteriaThermodynamicsEcology

Abstract

fetched live from OpenAlex

A new type of bioreactor, an inverse fluidized-bed biofilm reactor, was used for the continuous aerobic biodegradation of phenol in contaminated water. The process proved to be very stable in time, with a constant and high rate of biodegradation obtained during the three-month operation of the bioreactor. This was because of the efficient and simple biofilm thickness control. The effect of the dilution rate on the rate of phenol biodegradation was studied at different inlet phenol concentrations. The biodegradation rate was found to pass through a maximum. Using a kinetic model, this effect was explained by the presence of a large amount of suspended biomass, produced during the biofilm thickness control in the bioreactor.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.133
GPT teacher head0.330
Teacher spread0.197 · 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