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Record W2574712995 · doi:10.1002/cjce.22791

Effect of nitrogen doping on the catalytic activity of activated carbon and distribution of oxidation products in catalytic wet oxidation of phenol

2017· article· en· W2574712995 on OpenAlexvenueno aff
Yang Guo, Honglin Chen, Hangdao Qin, Xiaoming Zhang, Yujun Feng

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2017
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsnot available
FundersSichuan University of Science and Engineering
KeywordsCatalysisChemistryOxalic acidPhenolAminationActivated carbonAcetic acidNitrogenWet oxidationCatalytic oxidationCarbon fibersInorganic chemistryOrganic chemistryComposite numberMaterials science

Abstract

fetched live from OpenAlex

Abstract Nitrogen‐containing functional groups were introduced into activated carbon (AC) by amination at high temperatures to investigate their effects on the catalytic activity and distribution of products in the catalytic wet air oxidation (CWAO) of phenol at 120 and 160 °C. The results show that the catalytic activity of the nitrogen‐doped AC increases with amination temperature from 250 to 850 °C. The linear relationship between the quantity of nitrogen‐containing functional groups and the catalytic activity indicates that the enhanced activities are closely related to the amount of pyridinic and pyrrolic nitrogen groups on the surface of the AC. The parent and aminated AC exhibit distinct distributions of oxidation products. Oxalic acid is favourably degraded on the aminated AC, whereas the all‐carbon AC shows a similar ability for the removal of acetic acid.

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)0.003
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 score0.003
Threshold uncertainty score0.434

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 head0.220
Teacher spread0.210 · 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

Citations16
Published2017
Admission routes1
Has abstractyes

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