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Record W1991391342 · doi:10.1139/s07-003

Thermochemical oxidation of phenolic-laden liquid effluent models

2007· article· en· W1991391342 on OpenAlexaffvenue
Marzouk Benali, Christophe Guy

Bibliographic record

VenueJournal of Environmental Engineering and Science · 2007
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsPolytechnique MontréalNatural Resources Canada
Fundersnot available
KeywordsEffluentChemistryPhenolHuman decontaminationHydrogen peroxidePhenolsAqueous solutionEnvironmental chemistryWaste managementOrganic chemistryEnvironmental scienceEnvironmental engineering

Abstract

fetched live from OpenAlex

The paper presents a novel atmospheric free-radical thermochemical oxidation (TCO) process in an aqueous phase for decontamination of industrial liquid effluents from organic toxic substances, in particular the refractory organic pollutants such as phenols. Its original concept is based on a direct contact between a contaminated liquid stream and the flame of a gas-fired burner containing free radicals such as OH·, H·, CH3·, and CHO·. Despite a direct contact of the contaminated liquid with the flame, the evaporation was less than 6% at the separator outlet where liquid temperatures ranged from 60 to 70 °C. A prototype of the 50 kW reactor operated in a continuous mode with the phenol concentration ranging from 200 to 20 000 mg/L was proven to process from 200 to 300 L/h of the contaminated model liquid. Experimental results show a final destruction efficiency of over 98%. Kinetics of phenol oxidation in TCO shows that the induction period can be avoided by injection of a small amount of hydrogen peroxide in the contaminated effluent feeding tank.

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)0.002
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 score0.011
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.207
Teacher spread0.201 · 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

Citations8
Published2007
Admission routes2
Has abstractyes

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