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Record W2055575308 · doi:10.1021/ie010816o

On-line Extraction−Reaction of Canola Oil with Ethanol by Immobilized Lipase in SC-CO<sub>2</sub>

2002· article· en· W2055575308 on OpenAlexaff
Mitsuru Kondo, Karamatollah Rezaei, Feral Temelli, Motonobu Goto

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2002
Typearticle
Languageen
FieldEngineering
TopicPhase Equilibria and Thermodynamics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCanolaChemistryEthanolLipaseChromatographyExtraction (chemistry)Supercritical carbon dioxideFatty acidSupercritical fluidMethanolOleic acidEthyl esterOrganic chemistryEnzymeBiochemistryFood science

Abstract

fetched live from OpenAlex

On-line extraction−reaction was carried out in supercritical carbon dioxide (SC-CO 2 ) in the temperature range from 308 to 328 K and the pressure range from 24 to 35 MPa. Fatty acid ethyl esters were synthesized from extracted canola oil with ethanol by using the immobilized lipase (Lipozyme IM). The effects of ethanol amount, enzyme load, and operational conditions on the amount of fatty acid esters (FAE), free fatty acids (FFA), and mono-, di-, and triglycerides (MG, DG, and TG, respectively) present in the product were investigated. The results show that it is possible to synthesize fatty acid ethyl esters efficiently at high temperature. Finally, a new process operating at different extractor and reactor temperatures was proposed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.044
Threshold uncertainty score1.000

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.054
GPT teacher head0.298
Teacher spread0.244 · 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.

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

Citations23
Published2002
Admission routes1
Has abstractyes

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