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Record W4383100208 · doi:10.1002/em.22560

Toxicity and mutagenicity studies of <scp>6PPD</scp>‐quinone in a marine invertebrate species and bacteria

2023· article· en· W4383100208 on OpenAlexaff
Marina Tenório Botelho, Gabriely Fernanda Groto Militão, Markus Brinkmann, Gisela de Aragão Umbuzeiro

Bibliographic record

VenueEnvironmental and Molecular Mutagenesis · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Toxicology and Ecotoxicology
Canadian institutionsGlobal Institute for Water SecurityUniversity of Saskatchewan
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsQuinoneToxicityBacteriaMicronucleus testSalmonellaBiologyChemistryBiochemistryMicrobiologyToxicologyOrganic chemistryGenetics

Abstract

fetched live from OpenAlex

N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine-quinone (6PPD-quinone), an oxidation product of the tire additive, 6PPD, has been associated with high mortality of salmonids (0.1 μg/L). The objective of this study was to determine the acute toxicity using neonates and mutagenicity (micronuclei in hemolymph of exposed adults) of 6PPD-quinone in the marine amphipod Parhyale hawaiensis. Also, we studied its mutagenicity in the Salmonella/microsome assay using five strains of Salmonella with and without metabolic system (rat liver S9, 5%). 6PPD-quinone did not present acute toxicity to P. hawaiensis from 31.25 to 500 μg/L. Micronuclei frequency increased after 96 h-exposure to 6PPD-quinone (250 and 500 μg/L) when compared to the negative control. 6PPD-quinone also showed a weak mutagenic effect for TA100 only in the presence of S9. We conclude that 6PPD-quinone is mutagenic to P. hawaiensis and weakly mutagenic to bacteria. Our work provides information for future risk assessment of the presence of 6PPD-quinone in the 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score1.000

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 studies0.0000.001
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 head0.014
GPT teacher head0.220
Teacher spread0.206 · 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.

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

Citations20
Published2023
Admission routes1
Has abstractyes

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