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CONCENTRATION OF GAMMA LINOLENIC ACID (GLA) FROM BORAGE OIL BY UREA COMPLEXATION: OPTIMIZATION OF REACTION CONDITIONS

2000· article· en· W2093679427 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.

Bibliographic record

VenueJournal of Food Lipids · 2000
Typearticle
Languageen
FieldEngineering
TopicAdvanced Control Systems Optimization
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsChemistryUreaReaction conditionsFatty acidgamma-Linolenic acidOrder of reactionResponse surface methodologyLinolenic acidNuclear chemistryOrganic chemistryKineticsChromatographyCatalysisPolyunsaturated fatty acidReaction rate constant

Abstract

fetched live from OpenAlex

ABSTRACT Production of gamma‐linolenic acid (GLA, 18:3ω6) concentrates from borage oil (BO) was optimized. A 3‐factor‐3‐level face‐centered cube design was used to study the effect of reaction time (X 1 ), reaction temperature (X 2 ) and urea‐to‐fatty acid ratio (X 3 ) in order to maximize the GLA content(Y). A second‐order polynomial model was employed to generate a surface response. Under optimum conditions, a maximum of 91% GLA was obtained from borage oil at a reaction time of 16 h, reaction temperature of ‐7C and a urea‐to‐fatty acid ratio(w/w) of 3.7.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.549
Threshold uncertainty score0.594

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.006
GPT teacher head0.204
Teacher spread0.198 · 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