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Record W2366058237

Oxidative stress response of Acinetobacter lwoffii DNS32 exposed to atrazine-contaminated

2014· article· en· W2366058237 on OpenAlexaff
Yin Zhang

Bibliographic record

VenueDongbei Nongye Daxue xuebao · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicPesticide and Herbicide Environmental Studies
Canadian institutionsScience North
Fundersnot available
KeywordsAtrazineOxidative stressAntioxidantBacteriaMicrobiologyChemistryEnzymeBiologyFood scienceBiochemistryPesticide
DOInot available

Abstract

fetched live from OpenAlex

To investigate the oxidative stress response of antioxidant enzymes in atrazinedegrading bacterium exposed to atrazine played a significant role in the application of bacterium. A. lwoffii DNS32 and S. aureus R2 cultures were treated with different concentrations of atrazine. After exposure to atrazine for 0, 6, 12 and 24 h, bacterial cells were harvested in order to assay SOD, CAT, GST activities and T-AOC. The results showed that at 6 h T-AOC was induced, and the biggest inducement rate of SOD, CAT and GST activities were 111.26% and 55.47%, 72.79% and 61.61%, 33.35% and 52.76% in the two bacteria, respectively. At 24 h SOD and CAT in A. lwoffii DNS32 were induced, and GST and T-AOC were inhibited. But SOD, CAT, GST activities and T-AOC in S. aureus R2 were inhibited at 24 h. Compared with S. aureus R2, A. lwoffii DNS32 had relatively high tolerance to atrazine stress.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0010.000

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 head0.009
GPT teacher head0.221
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2014
Admission routes1
Has abstractyes

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