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Record W2078423395 · doi:10.1139/s06-002

Phenol removal from aqueous solution by fungal peroxidases

2006· article· en· W2078423395 on OpenAlexfundvenueno aff
Xiaojian Mao, Ian Buchanan, Stephen J. Stanley

Bibliographic record

VenueJournal of Environmental Engineering and Science · 2006
Typearticle
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhenolPeroxidaseAqueous solutionChemistryPhenolsEnzymeChromatographyNuclear chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Aromatic compounds may be removed from aqueous solution by extra-cellular peroxidase enzymes that target specific classes of aromatic compounds. Phenol removal by commercially available extra-cellular enzyme, Arthromyces ramosus peroxidase (ARP), was studied at several temperatures and pH values. The optimal pH for phenol removal was found to lie within the range of pH 7 to 8, and was not affected by temperature. At neutral pH, phenol removal increased with decreasing temperature within the range of 0 °C to 30 °C. Coprinus cinereus peroxidase (CIP) was produced by Coprinus cinereus UAMH 4103 in a stirred fermentor; the fermentor broth was filtered, and used in phenol removal tests at room temperature. The impurities remaining in the crude enzyme solutions following filtration produced a beneficial effect on phenol removal from the buffered aqueous solution. However, greater phenol removal was observed in un-buffered solutions compared to removals achieved in solutions that contained phosphate buffer. Key words: phenol removal, Coprinus cinereus peroxidase, Arthromyces ramosus peroxidase, enzymatic 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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.629
Threshold uncertainty score0.170

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.003
GPT teacher head0.185
Teacher spread0.181 · 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

Citations14
Published2006
Admission routes2
Has abstractyes

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