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Record W2168030673 · doi:10.1002/jctb.1507

Laccase‐catalysed oxidation of aqueous triclosan

2006· article· en· W2168030673 on OpenAlex

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.

Bibliographic record

VenueJournal of Chemical Technology & Biotechnology · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicPharmaceutical and Antibiotic Environmental Impacts
Canadian institutionsMcGill University
Fundersnot available
KeywordsTriclosanTrametes versicolorLaccaseChemistryABTSSulfiteAqueous solutionEthylene glycolChlorideCopperOrganic chemistryNuclear chemistryEnzymeAntioxidant

Abstract

fetched live from OpenAlex

Abstract A study was conducted on the ability of laccase from Trametes versicolor to catalyse the oxidation of triclosan, an antibacterial agent of significant commercial importance and environmental concern. Laccase was able to catalyse the transformation of triclosan under a variety of conditions and achieve a substantial decrease in toxicity of the reaction mixture. The optimal pH for triclosan transformation was approximately 5, with a broad optimum in the range 4–6. Treatment could be achieved at elevated temperatures, but at the expense of higher rates of inactivation. Treatment efficiency and reaction rates were substantially improved through the use of a protective additive, poly(ethylene glycol) (PEG‐35 000), and a mediator, 2,2′‐azino‐bis(3‐ethylbenzthiazoline)‐6‐sulfonic acid (ABTS). However, both compounds negatively affected the toxicities of treated solutions. The presence of ions including sulfite, sulfide, cyanide, chloride, iron(III) and copper(II) resulted in reduced treatment efficiency. Copyright © 2006 Society of Chemical Industry

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)0.000
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 score0.027
Threshold uncertainty score0.609

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.008
GPT teacher head0.244
Teacher spread0.237 · 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