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Record W2119952534 · doi:10.1081/ss-200068429

Removal of Trace Water from Organic Mixtures by Pervaporation Separation During Butyl Acetate Production via Esterification

2005· article· en· W2119952534 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSeparation Science and Technology · 2005
Typearticle
Languageen
FieldEngineering
TopicMembrane Separation and Gas Transport
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPervaporationChemistryAcetic acidButyl acetateButanolMembraneDistillationEthanolAzeotropeSelectivityAlcoholOrganic chemistryChromatographyCatalysisPermeationSolvent

Abstract

fetched live from OpenAlex

Abstract This paper reports on the removal of trace water from mixtures of n‐butyl acetate, n‐butanol, and acetic acid by pervaporation using a polyvinyl alcohol (PVA) membrane. The separations of binary (i.e., n‐butyl acetate and water) and quaternary (n‐butyl acetate, n‐butanol, acetic acid, and water) mixtures were investigated. The quaternary mixtures are relevant to n‐butyl acetate production by esterification via reactive distillation. A series of pervaporation experiments were performed, including a simulated production process in which the relationship between pervaporation time and water content in the feed was studied. The results show that the PVA membrane has very high permselectivity for water and maintains significant selectivity for a considerable period of time even when the water concentration is present at relatively high concentrations of water in organic mixtures.

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.

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)0.000
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 score0.013
Threshold uncertainty score0.527

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.007
GPT teacher head0.241
Teacher spread0.234 · 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