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Record W4406144474 · doi:10.1680/jenes.24.00058

MWCNT-MnO<sub>2</sub> composite and microbial reactor for BPA removal: toxicity and in silico studies

2025· article· en· W4406144474 on OpenAlexvenueno aff
Habeeb Ahmed, Sangeetha Subramanian

Bibliographic record

VenueJournal of Environmental Engineering and Science · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsComposite numberToxicityChemistryNuclear chemistryChemical engineeringEnvironmental chemistryMaterials scienceComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

Bisphenol A (BPA) is an emerging harmful endocrine disruptor pollutant, causing hormonal imbalances in the human body. The current study examined multiwalled carbon nanotubes doped with manganese oxide nanoparticle-nanocomposite in a sandwich-type fixed packed bed reactor system. The single-layered system demonstrated 45% removal in the initial 30 mins, whereas the double-layered system displayed 66% removal during the same time. A minimum leaching of Mn 2+ ions was observed, resulting from oxidation of (BPA) molecules. Mn 2+ ions leachate was treated at consecutive microbial reactor system, containing chitosan-entrapped Shewanella putrefaciens packed bed reactor, which exhibited a significant removal of both M 2+ ions and untreated BPA molecules, culminating a pollutant-free discharge. Both treated and untreated BPA samples were screened for toxicity against zebrafish embryos, assisted with computational in silico studies, revealing structural and delayed growth effects by BPA. In contrast, the final treated sample displayed no adverse impacts on the natural growth cycle of zebrafish embryos.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score0.402

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.010
GPT teacher head0.231
Teacher spread0.222 · 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 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
Published2025
Admission routes1
Has abstractyes

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