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Record W2155073506 · doi:10.1002/bit.20497

Kinetic model of laccase‐catalyzed oxidation of aqueous phenol

2005· article· en· W2155073506 on OpenAlexaff
Selvia Kurniawati, Jim A. Nicell

Bibliographic record

VenueBiotechnology and Bioengineering · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEnzyme-mediated dye degradation
Canadian institutionsMcGill University
Fundersnot available
KeywordsLaccasePhenolChemistryCatalysisAqueous solutionSubstrate (aquarium)OxygenCombinatorial chemistryOrganic chemistryEnzymeEcology

Abstract

fetched live from OpenAlex

Laccase from Trametes versicolor (EC 1.10.3.2) catalyzes the oxidation of aqueous phenol by oxygen and has demonstrated good potential for applications in various industrial and environmental processes. A kinetic model of this system has been developed to facilitate a better understanding of the mechanisms and rate-limiting steps of enzyme-catalyzed transformation and to eventually assist in the choice and design of suitable reactor systems. A kinetic model was derived based on the differential and mass balance equations that describe the interactions of various forms of the enzyme with the aromatic substrate and oxygen. This model also incorporated an expression accounting for enzyme inactivation over time due to the reaction environment. The model was validated by comparing model predictions with experimental observations of phenol transformation and oxygen consumption over time at a variety of enzyme concentrations. Excellent agreement was found between experimental data and predictions of the kinetic model. Sensitivity analyses demonstrated that the reaction between oxidized-laccase and phenol was the rate-limiting step.

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 score0.045
Threshold uncertainty score0.158

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 head0.011
GPT teacher head0.182
Teacher spread0.171 · 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

Citations24
Published2005
Admission routes1
Has abstractyes

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