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Record W2070211059 · doi:10.5539/enrr.v2n2p32

The Efficiency of PAH Metabolites Fluorescence Intensity Measurement to Study Pahs Contamination

2012· article· en· W2070211059 on OpenAlexvenueno aff
Khobkul Nongnutch, Jakkaphun Nanuam, Chawanrat Somnuek

Bibliographic record

VenueEnvironment and Natural Resources Research · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsnot available
Fundersnot available
KeywordsChrysenePyreneEnvironmental chemistryContaminationOreochromisNile tilapiaAnthraceneChemistryFish <Actinopterygii>PhenanthrenePhotochemistryBiologyFisheryEcology

Abstract

fetched live from OpenAlex

The aim of this study was to evaluate the efficiency of fluorescence intensity measurement of PAH metabolites in fish bile (by Fixed Wavelength Fluorescence, FF) to study and assess PAHs contamination in aquatic organism. Nile tilapia (Oreochromis niloticus) was exposed to benzene, fluorene, anthracene, chrysene, and benzo[a]pyrene at non-lethal concentrations. The results showed that the fluorescence intensity and EROD activity were significantly increased with increase in exposure times and PAH concentrations. Moreover, the results of both methods had significantly positive relation. The maximum values were reached in 16 day after exposure. Thus, fluorescence intensity measurement by FF technique could be used as a potential tool for environmental study in the case of PAHs contamination in aquatic environment.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.626
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.035
GPT teacher head0.295
Teacher spread0.260 · 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 designObservational
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

Citations2
Published2012
Admission routes1
Has abstractyes

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