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Record W2161516850 · doi:10.1080/09593330.2010.496467

Oxidation of X‐ray compound ditrizoic acid by ferrate(VI)

2011· article· en· W2161516850 on OpenAlex
George A. K. Anquandah, Madhumita B. Ray, Ajay K. Ray, Abdullah J. Alabduly, Virender K. Sharma

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironmental Technology · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicAdvanced oxidation water treatment
Canadian institutionsWestern University
Fundersnot available
KeywordsChemistryEffluentReaction rate constantPollutantKineticsEnvironmental chemistryBiodegradationNuclear chemistrySewageInorganic chemistryNitrogenRedoxReaction rateAquatic environmentEnvironmental engineeringCatalysisOrganic chemistry

Abstract

fetched live from OpenAlex

Iodinated X-ray contrast media (ICM) such as diatrizoic acid (DTZA) is used in large amounts in hospitals to enhance imaging of organs and blood vessels during radiography. Due to its persistence and non-biodegradability, it is found in treated water, sewage effluent, surface waters, and aquatic environments. This paper presents the kinetics of the oxidation of DTZA by ferrate(VI) (Fe(VI)O4(2-), Fe(VI)) as a function of pH (7.1-9.6) at 25 degrees C in order to determine the effectiveness of Fe(VI) to remove DTZA from water. The reaction was determined to be first-order with respect to concentrations of Fe(VI) and DTZA. The rate of the reaction was found to be pH dependent and the rate decreased nonlinearly as the pH increase from 7.1 to 9.6. The speciation of Fe(VI) (HFeO4(-) and FeO4(2-)) was used to explain the rate dependence on pH. The calculated rate constant of Fe(VI) with DTZA at pH 7.0 was compared with nitrogen-containing pollutants and is briefly discussed.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.045
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.010
GPT teacher head0.195
Teacher spread0.185 · 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