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Record W1984240170 · doi:10.2166/wst.2011.784

Ethinylestradiol removal in a conventional and a simultaneous nitrification–denitrification membrane bioreactor

2011· article· en· W1984240170 on OpenAlexaff
Michelle Paetkau, Wenbo Yang

Bibliographic record

VenueWater Science & Technology · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Nitrogen Removal
Canadian institutionsUniversity of GuelphUniversity of Manitoba
Fundersnot available
KeywordsChemistryMembrane bioreactorBioreactorNitrificationBiodegradationDenitrificationSimultaneous nitrification-denitrificationChromatographyEnvironmental chemistryEnvironmental engineeringNitrogenEnvironmental scienceOrganic chemistry

Abstract

fetched live from OpenAlex

The removal of a synthetic estrogen 17α-ethinylestradiol (EE2) was investigated in submerged membrane bioreactors (MBRs) with simultaneous nitrification-denitrification (SND) and conventional nitrification. The influent EE2 concentration was 500 ng/L as EE2. Using a yeast estrogen screen test, the conventional-MBR (C-MBR) and SND MBR (SND-MBR) removed 57 and 58% of the estrogenic activity (EA) respectively; there was no significant difference in their removal efficiencies. Biodegradation was the dominant removal mechanism for both reactors with K(BIO) coefficients of 1.5 ± 0.6 and 1.6 ± 0.4 day(-1) for the C-MBR and the SND-MBR respectively. Sorption to solid particles removed approximately 1% of influent EA in each reactor; the particle partitioning coefficient, K(D), was calculated to be 0.21 ± 0.07 L/(g MLSS) for the C-MBR and 0.27 ± 0.1 L/(g MLSS) for the SND-MBR. These findings suggest that conditions favoring SND in MBRs have no significant impact on EA reduction.

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 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 score0.012
Threshold uncertainty score0.652

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.018
GPT teacher head0.218
Teacher spread0.201 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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