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Record W2172254058 · doi:10.1002/cjce.5450790408

Kinetics of Aqueous‐Phase catalytic dehydration of 2‐Propanol

2001· article· en· W2172254058 on OpenAlexaffvenue
Jean-Marc. Rivard, Qinglin Zhang, Karl T. Chuang

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2001
Typearticle
Languageen
FieldChemistry
TopicZeolite Catalysis and Synthesis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCatalysisChemistryDehydrationActivation energyPropanolAqueous solutionDehydration reactionDiisopropyl etherZeoliteAdsorptionAcetoneInorganic chemistryOrganic chemistryMethanol

Abstract

fetched live from OpenAlex

Abstract The aqueous‐phase catalytic dehydration of 2‐propanol was investigated in a batch slurry reactor. Alumina, zeolite 13X, SAPO‐5 and silicalite are all active in the liquid phase dehydration of 2‐propanol at 463 K with silicalite being the most active catalyst. Propylene was found to be the major reaction product, with diisopropyl ether and acetone formed in trace amounts. The reaction kinetics over silicalite was determined at a temperature range of 434 to 463 K and at a concentration range of 4 to 10 mol% 2‐propanol in water. A single site Langmuir‐Hinshelwood‐Hougen‐Watson (LHHW) type mechanism was found to describe the kinetic data well. Water was found to inhibit the dehydration reaction. The activation energy over silicalite was determined to be 226.8 kJ/mol while the heat of adsorption for 2‐propanol and water was –45.5 and –9.6 kJ/mol, respectively.

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 score0.003
Threshold uncertainty score0.005

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)0.0020.001

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 head0.009
GPT teacher head0.198
Teacher spread0.189 · 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

Citations3
Published2001
Admission routes2
Has abstractyes

Explore more

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