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Record W1996407224 · doi:10.1080/09593332508618384

Biodegradation of Red B Dye by<i>Bacillus Sp. OY1-2</i>

2004· article· en· W1996407224 on OpenAlexaff
J.G. Li, Jerald A. Lalman, Nihar Biswas

Bibliographic record

VenueEnvironmental Technology · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEnzyme-mediated dye degradation
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsBiodegradationAnoxic watersBiosorptionChemistryDegradation (telecommunications)WastewaterChromatographyPulp and paper industryNuclear chemistryMicrobiologyEnvironmental engineeringEnvironmental chemistryOrganic chemistryBiologyAdsorptionSorptionEnvironmental science

Abstract

fetched live from OpenAlex

Batch tests were employed to investigate the effects of aerobic and anoxic conditions on the biodegradation of Red B dye by Bacillus OY1-2. Results from batch experiments demonstrated anoxic conditions were beneficial for rapid biodegradation of Red B dye in comparison to aerobic conditions. Biodegradation is a major mechanism in the decolorization of Red B dye in comparison with biosorption, which accounted for only 8% of the total decolorization efficiency. Reactors packed with granular activated carbon (GAC) and inoculated with Bacillus OY1-2 were investigated to treat a synthetic wastewater under anoxic conditions. In the absence of cosubstrates, Red B dye was degraded; however, a significant improvement in degradation resulted with the addition of cosubstrates.

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 score0.035
Threshold uncertainty score0.365

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 head0.005
GPT teacher head0.166
Teacher spread0.161 · 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
Published2004
Admission routes1
Has abstractyes

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