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Record W2317192481 · doi:10.1021/ie401875v

Thermal Properties of Monoglycerides from Nephelium Lappaceum L. Oil, as a Natural Source of Saturated and Monounsaturated Fatty Acids

2013· article· en· W2317192481 on OpenAlexfundno aff
Romain Valentin, Adolphe Christian Ngakegni‐Limbili, Zéphirin Mouloungui, Jean‐Maurille Ouamba

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Chemistry and Fat Analysis
Canadian institutionsnot available
FundersCampus FranceAgence Universitaire de la Francophonie
KeywordsChemistryHydrolysisComposition (language)Organic chemistryInteresterified fatCrystallizationFood scienceLipaseEnzyme

Abstract

fetched live from OpenAlex

The present paper studied the transformations of reserve lipids (RLs) of the species Nephelium lappaceum Linn ( N. Lappaceum ). The triacylglycerols (TAGs) in this species are composed of C18:1, C20:0, and C20:1 fatty acids (FAs). The transition from native triglycerides to pure monoglycerides (MGs) was explored. It has been shown how the physical and physicochemical properties of MGs were influenced by the effect of the FA composition, consisting of saturated and unsaturated fatty acids. In organic process, the first step was lipase-catalyzed hydrolysis of native triglycerides. The second step was the chemically catalyzed esterification of hydrolyzed free fatty acids into MGs. Both steps were carried out in organized media used as microreactors. These transformations increased the melting temperatures from 22 °C to 51 °C and decreased the crystallization temperature from 22 °C to −1 °C, from long-chain TAGs to MGs (C20:0 and C20:1). By monitoring the saturated/unsaturated FA ratio in the lipotransformation into MGs, it was possible to control the composition of binary and ternary mixtures and, therefore, control the physical and physicochemical properties of the systems. This may be very useful for applications in the food, cosmetics, and pharmaceuticals industries.

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 score0.006
Threshold uncertainty score0.491

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 integrity0.0000.001
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 head0.046
GPT teacher head0.237
Teacher spread0.192 · 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
Published2013
Admission routes1
Has abstractyes

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