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Record W2017867881 · doi:10.1021/ie901796x

Photodegradation of Estrone in Solar Irradiation

2010· article· en· W2017867881 on OpenAlexafffund
Rajib Roy Chowdhury, Paul A. Charpentier, Madhumita B. Ray

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicPharmaceutical and Antibiotic Environmental Impacts
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhotodegradationEstroneChemistryMineralization (soil science)Reaction rate constantIrradiationAqueous solutionDegradation (telecommunications)KineticsReaction rateHumic acidTotal organic carbonEnvironmental chemistryNuclear chemistryPhotochemistryCatalysisOrganic chemistryHormonePhotocatalysis

Abstract

fetched live from OpenAlex

The photodegradation of the steroid estrone (E1), an endocrine disrupting hormone which is commonly released into aquatic environments, was investigated in aqueous solution using natural sunlight (290−700 nm) produced using a solar simulator. The degradation of E1 was found to follow pseudo-first-order kinetics, with the rate constant decreasing slightly with increasing initial concentration and varying linearly with solar intensity in the region of 25−100 mW cm −2 . The half-life of E1 using 1 Sun (100 mW cm −2 ) was measured to be 52.50 min in natural conditions. The rate of mineralization based on total organic carbon (TOC) reduction was lower than E1 degradation, while the TOC of the solution decreased steadily with increased irradiation time. In the presence of humic acid, the photodegradation rate increased significantly, attributed to photosensitization by the reactive species. The solution pH also had a considerable effect on the rate with maximum degradation occurring around neutral pH of 7.

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 categoriesInsufficient payload (model declined to judge)
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 score0.006
Threshold uncertainty score1.000

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 integrity0.0000.001
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 head0.071
GPT teacher head0.336
Teacher spread0.265 · 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.

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

Citations52
Published2010
Admission routes2
Has abstractyes

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