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ACIDOLYSIS OF SEAL BLUBBER OIL WITH LAURIC ACID

2007· article· en· W1971342062 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

VenueJournal of Food Lipids · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme Catalysis and Immobilization
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of CanadaNovo Nordisk
KeywordsBlubberLauric acidLipaseChemistryFatty acidSeal (emblem)ChromatographyFood scienceBiochemistryEnzymeBiologyFishery

Abstract

fetched live from OpenAlex

ABSTRACT The purpose of this study was to modify the fatty acid composition of seal ( Phoca groenlandica ) blubber oil by incorporation of lauric acid (12:0; a medium chain fatty acid). Of the three enzymes that were employed in the initial screening, sn ‐1,3‐regiospecific lipase from Mucor miehei (Lipozyme IM) exhibited the highest activity and was further studied for the acidolysis of seal blubber oil with 12:0. The fatty acid composition of modified seal blubber oil was different from that of the unaltered oil. The optimum substrate mole ratio of seal blubber oil to 12:0 for M. miehei lipase was 1:3. The time course of the reaction demonstrated that 29.7% lauric acid incorporation was obtained in 24 h. Stereospecific analyses by pancreatic lipase revealed that M. miehei lipase incorporated 12:0 predominantly at the sn ‐1 and sn ‐3 positions of the triacylglycerol molecules.

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 score0.010
Threshold uncertainty score0.263

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 communication0.0000.000
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 head0.229
Teacher spread0.222 · 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