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Record W2760154452 · doi:10.1680/jenes.17.00018

Briefing: A study on biological remediation and ecotoxicity evaluation of BaP-contaminated soil

2017· article· en· W2760154452 on OpenAlexvenueno aff
Sung Jong Lee, Hongjoo Ha, Kap-Song Park, Guyoung Kang

Bibliographic record

VenueJournal of Environmental Engineering and Science · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial bioremediation and biosurfactants
Canadian institutionsnot available
FundersHankuk University of Foreign Studies
KeywordsEcotoxicityEnvironmental remediationDaphnia magnaEnvironmental chemistryBiodegradationChemistrySoil contaminationPyreneBioremediationContaminationSoil waterEnvironmental scienceToxicityOrganic chemistryBiologyEcology

Abstract

fetched live from OpenAlex

Benzo[a]pyrene (BaP) is a hydrophobic and recalcitrant organic compound that is often identified in contaminated soils and sediments. This study used a short-term biocatalytic method for the remediation of BaP-contaminated soil. Daphnia magna was used to evaluate the toxicity of the treated soil. Reducing the BaP concentration in the soil to lower than 2 mg/kg was the ultimate goal. The experimental treatment used a microreactor to measure the amount of carbon dioxide (CO2) generated by the biocatalytic reaction. The haemoglobin that was not introduced into the reactor resulted in twice the amount of released carbon dioxide, as the haemoglobin was used as a carbon source. A reduction in the BaP concentration from 9·4 mg/l to a final concentration of 1·12 mg/l demonstrated the ability to restore the soil contaminated with BaP by the biocatalyst and the biodegradability of the coupling mechanism. An ecotoxicity analysis of D. magna was carried out after a 35 d biological treatment process. As a result, the ecotoxicity value was analysed as 0·0 toxic units.

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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.247
Teacher spread0.223 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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