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Record W2328680418 · doi:10.1021/ef501375c

Pyrrolic Ring Opening and Nitrogen Removal from Solution without Hydrogenation: Natural Chabazite as a Cracking Catalyst

2014· article· en· W2328680418 on OpenAlexafffund
Gonzalo Rocha Aguilera, Vikas G. Gupta, Shaofeng Yang, Steven M. Kuznicki, William C. McCaffrey

Bibliographic record

VenueEnergy & Fuels · 2014
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Alberta
FundersHelmholtz-Alberta InitiativeConsejo Nacional de Ciencia y TecnologíaStryker
KeywordsAnilineChabaziteChemistryCatalysisAdsorptionIndole testNitrogenCrackingInorganic chemistryOrganic chemistryZeolite

Abstract

fetched live from OpenAlex

Recent studies show that chabazite can catalyze cracking reactions and remove nitrogen and heavy metals from bitumen derived from oil sands. In this study, it was found that, after reaction at 400 °C for 1 h, indole concentration was reduced by 43% and nitrogen removals up to 17% were obtained. Pyridinic nitrogen containing compounds were also found to react in the presence of natural zeolites although the reaction rates are much slower. Experimental evidence suggests that indole is converted into aniline and the nitrogen removed remains on the surface of the catalyst as aniline or aniline derivatives. Two possible reaction paths for the conversion of indole into aniline are presented. Experimental evidence suggests that the water affects the nitrogen adsorption but not the reaction pathway. A better understanding of the reaction path and adsorption phenomena of this system may lead to an improved process for heavy oils.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.008
GPT teacher head0.228
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2014
Admission routes2
Has abstractyes

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