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Isolation and characterization of Endosulfan degrading bacteria from the gut of earthworm

2014· article· en· W2029805576 on OpenAlexvenueno aff
Smitha Padmanabhan, T. R. Srinivasan, N. Kannan

Bibliographic record

VenueCanadian Journal of Clinical Nutrition · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicPesticide and Herbicide Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEarthwormIsolation (microbiology)EndosulfanBacteriaBiologyMicrobiologyZoologyEcologyPesticideGenetics

Abstract

fetched live from OpenAlex

Background: Endosulfan is a neurotoxic organochlorine insecticide, which is used worldwide for pest control and its residues have been remained for long periods in soil, water bodies and agricultural products. Objective: The aim of the present study was to isolate and characterize a bacterium from the earthworm gut which can degrade endosulfan without producing any toxic metabolites like endosulfan sulphate. Methods: Endosulfan was used as a carbon source by the bacteria and degraded it up to 90% within 15 days. The bacteria grew well in minimal medium with high concentrations of endosulfan (80μg/ml). Results: Almost complete degradation of the endosulfan insecticide was indicated by an increase in chloride ion in the growth medium. This strain was able to survive well at 45oC and exhibited its capability for degradation of the pesticide. Conclusion: The results suggest that the isolated strain is valuable for bioremediation of endosulfan-contaminated soil and water bodies.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.525

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 head0.025
GPT teacher head0.257
Teacher spread0.231 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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