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Record W1998050026 · doi:10.1081/ss-100102940

ISOTHERMAL VAPOR-LIQUID EQUILIBRIUM OF ACETONE-WATER MIXTURE IN THE PRESENCE OF MOLECULAR SIEVES

2001· article· en· W1998050026 on OpenAlexaff
Fawzi Banat, Fahmi A. Abu Al‐Rub, Jana Simandl

Bibliographic record

VenueSeparation Science and Technology · 2001
Typearticle
Languageen
FieldChemistry
TopicChemical Thermodynamics and Molecular Structure
Canadian institutionsMcGill University
Fundersnot available
KeywordsMolecular sieveChemistryAcetoneUNIFACIsothermal processBoiling pointChromatographyThermodynamicsOrganic chemistryActivity coefficientCatalysisAqueous solution

Abstract

fetched live from OpenAlex

The VLE of acetone-water mixtures was studied at 60°C in the absence and in the presence 3 Å and 4 Å molecular sieves using the Headspace gas chromatographic (HSGC) technique. Good agreement was noticed when the experimental results in the absence of molecular sieves were compared to the van Lar and UNIFAC models’ predictions. These results proved the practical feasibility of using the HSGC in measuring the VLE of binary mixtures. The experimental results obtained in the presence of molecular sieves showed that the VLE of acetone-water mixtures was altered significantly in the presence of molecular sieves. A complete separation of acetone was achieved for a feed composition of about 25 mol % acetone. These results suggest the potential use of molecular sieves to alter the VLE of binary mixtures, especially those with close boiling points or systems that have azeotropic points.

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)0.001
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.006
GPT teacher head0.268
Teacher spread0.262 · 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

Citations2
Published2001
Admission routes1
Has abstractyes

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