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Record W2170470387 · doi:10.5539/mas.v2n5p3

Decolorization of Cibacron Yellow S-3R Using Coriolus Versicolor (MTCC 138)

2008· article· en· W2170470387 on OpenAlexvenueno aff
Chitradevi Venkatachalam

Bibliographic record

VenueModern Applied Science · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEnzyme-mediated dye degradation
Canadian institutionsnot available
Fundersnot available
KeywordsMyceliumChemistrySubstrate (aquarium)ChromatographyNuclear chemistryBiologyBotanyEcology

Abstract

fetched live from OpenAlex

The aim of the present study is to analyze the ability of the white rot fungi Coriolus Versicolor (MTCC 138) in the decolorization of Cibacron Yellow S-3R, a recalcitrant azo reactive textile dye. The influencing parameters that affect the percentage of decolorization rates are optimized in batch mode. The optimal values of the parameters such as mycelia age, temperature, pH, initial dye concentration and carbon source concentration are found to be 7 days, 30°C, 5.4, 100 mg/l and 2 mg/l respectively. The maximum percentage of decolorization at the optimized conditions is found to be 90%. It is also conferred that there is substrate inhibition to fungal decolorization when initial dye concentration is greater than 100 mg/l.

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 score0.318
Threshold uncertainty score0.388

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 studies0.0010.001
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 head0.037
GPT teacher head0.212
Teacher spread0.175 · 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
Published2008
Admission routes1
Has abstractyes

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