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Record W2762907288 · doi:10.1680/jenes.17.00015

Degradation of atrazine with titanium dioxide immobilised in compact recycled glass

2017· article· en· W2762907288 on OpenAlexvenueno aff
Amarillys Avilés, Claralys Hernandez, Jonathan Ambrose, Pedro J. Tarafa

Bibliographic record

VenueJournal of Environmental Engineering and Science · 2017
Typearticle
Languageen
FieldEnergy
TopicTiO2 Photocatalysis and Solar Cells
Canadian institutionsnot available
Fundersnot available
KeywordsDegradation (telecommunications)Titanium dioxideAtrazinePulp and paper industryEnvironmental chemistryEnvironmental scienceChemistryCarbon dioxideChemical engineeringMaterials scienceMetallurgyPesticideEcologyOrganic chemistryBiologyComputer science

Abstract

fetched live from OpenAlex

This research studied the feasibility of a porous glass/titanium dioxide (TiO 2 ) composite for the photocatalytic degradation of atrazine under ultraviolet (UV) irradiation. The composite was obtained by immobilising titanium dioxide nanoparticles (in anatase form) over a sintered glass substrate through physical processes requiring high-temperature post-treatments for effective attachment. The initial deposition of the nanoparticles was attained by gravitational decanting from titanium dioxide suspensions evaluated in two different solvents: ethanol and acetic acid. The highest amount of titanium dioxide immobilised over the glass substrate occurred at 900°C for 2 h with no polymorphic structural change in the nanoparticles as confirmed by X-ray diffraction analysis. Treatability studies of atrazine solutions demonstrated a 95% reduction in atrazine levels after being in contact with the glass/titanium dioxide composite under UV light for 6 h. Also, the experimental results demonstrate possible exhaustion of the glass/titanium dioxide composite after 36 h of continuous treatment.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score0.198

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 head0.006
GPT teacher head0.199
Teacher spread0.192 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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