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Record W1967961751 · doi:10.1021/ie5020958

Synthesis, Crystallization, and Melting Behavior of Metathesis-like Triacylglycerol Oligomers: Effects of Saturation, Isomerism, and Size

2014· article· en· W1967961751 on OpenAlexafffund
Shaojun Li, Laziz Bouzidi, Suresh S. Narine

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2014
Typearticle
Languageen
FieldEngineering
TopicLubricants and Their Additives
Canadian institutionsTrent University
FundersNatural Sciences and Engineering Research Council of CanadaIndustry CanadaTrent UniversityGrain Farmers of Ontario
KeywordsCrystallizationWaxSaturation (graph theory)MetathesisThermal stabilityChemistryProton NMRMelting pointMaterials scienceChemical engineeringPolymerizationPolymer chemistryOrganic chemistryPolymer

Abstract

fetched live from OpenAlex

Oligomers of triacylglycerols (TAGs) are derived from the self-metathesis of vegetable oils and are sought for a variety of applications, in particular waxes. A series of model dimers and quatrimers of TAGs with controlled structures were synthesized and characterized by 1 H NMR and 13 C NMR. Their thermal stability, crystallization, and melting behavior were investigated using TGA and DSC. The relationship of oligomeric structure to thermal properties was found to adhere well to predictive trends. Although the effect of saturation on the phase behavior was the most dramatic, with differences in crystallization temperature up to 62 °C, isomerism and molecular mass were shown to affect crystallization significantly, leading to differences of up to 30 °C. The findings of the study show that the thermal parameters of the oligomers can be adjusted in a very broad range by saturation, isomerism, and size, making the development of a large variety of biosourced functional lubricants and waxes possible.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.000
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 head0.021
GPT teacher head0.256
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2014
Admission routes2
Has abstractyes

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