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Record W2053346794 · doi:10.1680/jees.2013.0061

Tetracycline degradation by ozonation, and evaluation of biodegradability and toxicity of ozonation byproducts

2013· article· en· W2053346794 on OpenAlexvenueno aff
Jiguo Wu, Yunxia Jiang, Longying Zha, Zhuoming Ye, Zhifeng Zhou, Jufeng Ye, Hongwei Zhou

Bibliographic record

VenueJournal of Environmental Engineering and Science · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicPharmaceutical and Antibiotic Environmental Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsTetracyclineChemistryLuminescent bacteriaBiodegradationOzoneChemical oxygen demandDegradation (telecommunications)Environmental chemistryPollutantToxicityAcute toxicityBacteriaHigh-performance liquid chromatographyMicroorganismChromatographyAntibioticsOrganic chemistryEnvironmental engineeringBiochemistryWastewaterBiologyEnvironmental science

Abstract

fetched live from OpenAlex

Tetracycline was exposed to ozone by bubbling at different pH levels, and the acute toxicity of ozonation byproducts was tested by luminescent bacteria (Vibrio qinghaiensis sp.-Q67). Residual tetracycline in the solutions was detected by high performance liquid chromatography (HPLC). The results indicated that tetracycline was immediately degraded by ozonation and the degradation was favored at higher pH. Tetracycline (20 mg L−1) was completely degraded after 5 min of ozonation. However, total organic carbon (TOC) hardly decreased even though the ozonation time was extended to 40 min, suggesting that the ozonation process could not mineralize tetracycline. The luminescent bacteria assay indicated that the toxicity of the tetracycline solution was changed after ozonation. Chemical oxygen demand (COD) dropped by 15%, and the BOD5/COD ratio increased from 0·09 to 0·26, suggesting that the biodegradability of tetracycline was enhanced after 20 min of ozonation treatment.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.014
GPT teacher head0.248
Teacher spread0.234 · 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

Citations20
Published2013
Admission routes1
Has abstractyes

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