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Record W1986537320 · doi:10.1007/s11745-012-3721-y

Characterization of Novel Triacylglycerol Estolides from the Seed Oil of <i>Mallotus philippensis</i> and <i>Trewia nudiflora</i>

2012· article· en· W1986537320 on OpenAlexafffund
Mark Smith, Haixia Zhang, Li Forseille, Randy W. Purves

Bibliographic record

VenueLipids · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant biochemistry and biosynthesis
Canadian institutionsNational Research Council Canada
FundersNational Research Council Canada
KeywordsBotanyBiology

Abstract

fetched live from OpenAlex

Triacylglycerol estolides have been reported as components of the seed oil of a number of plant species and are generally associated with the presence of fatty acids containing hydroxyl groups. We have used MALDI-TOF MS to examine the intact acylglycerol species present in the seed oils of two plants that produce kamlolenic acid (18-hydroxy-Δ9cis,11trans,13trans-octadecatrienoic acid). Mallotus philippensis and Trewia nudiflora were both shown to produce seed oil rich in TAG-estolides. Analysis by MALDI-TOF MS/MS demonstrated that the TAG-estolides had a structure different to that previously proposed after enzymatic digestion of the oil. Acylglycerols containing up to 14 fatty acids were detected but fatty acid estolides were only present in a single position on the glycerol backbone, with predominantly non-hydroxyl fatty acids in the remaining two positions. Increased numbers of fatty acids per glycerol backbone were accounted for by the presence of fatty acid estolides containing a correspondingly greater number of fatty acids. For example, acylglycerols containing seven fatty acids had a fatty acid estolide of five fatty acids at one position on the glycerol backbone. Both capped and uncapped fatty acid estolides, with a free hydroxyl group, were present, with capped fatty acid estolides being more abundant in T. nudiflora and uncapped fatty acid estolides in M. philippensis.

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 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 score0.015
Threshold uncertainty score0.410

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 head0.012
GPT teacher head0.207
Teacher spread0.195 · 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.

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

Citations22
Published2012
Admission routes2
Has abstractyes

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