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Record W1736936240 · doi:10.3139/217.2961

Synthesis and Characterization of Acrylated Epoxidized Flaxseed Oil for Biopolymeric Applications

2015· article· en· W1736936240 on OpenAlexafffund
A. K. Rana, Richard W. Evitts

Bibliographic record

VenueInternational Polymer Processing · 2015
Typearticle
Languageen
FieldMaterials Science
TopicPolymer composites and self-healing
Canadian institutionsUniversity of Saskatchewan
FundersUniversity of Saskatchewan
KeywordsFourier transform infrared spectroscopyAcrylateDouble bondMaterials scienceInfrared spectroscopyEpoxidized soybean oilAcrylic acidCarbon-13 NMRNuclear chemistryOrganic chemistryFormic acidPolymer chemistryChemistryChemical engineeringPolymerCopolymer

Abstract

fetched live from OpenAlex

Abstract In this study acrylated epoxidized flaxseed oil was synthesized and then characterized by spectroscopic techniques. Triglycerides are the main constituents of flaxseed oil and the carbon-carbon double bond is the reaction site for epoxidation. Flaxseed oil was epoxidized by adding formic acid and hydrogen peroxide. Acrylic acid was then added to produce acrylated epoxidized flaxseed oil (AEFO). The change in the structure of the fatty acids chain after the epoxidation and acrylation reactions was measured and characterized by Hydrogen nuclear magnetic resonance spectroscopy ( 1 H NMR) and Fourier transform infrared spectroscopy (FTIR). The FTIR spectra of epoxidized flaxseed oil and flaxseed oil shows the disappearance of the =C–H (3012 cm −1 ) and C=C (1654 cm −1 ) peaks. The FTIR spectra confirmed the formation of AEFO since the presence of hydroxyl group (–OH) was shown by the peak at 3455 cm −1 and the acrylate group (–CH=CH 2 ), which was indicated by the peaks at 1406, 984 and 812 cm −1 . The changes in peaks of the 1 H NMR spectra also confirmed the formation of AEFO. The number of acrylate groups/molecule of triglyceride was found to be 2.6 from 1 H NMR spectra.

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 score0.051
Threshold uncertainty score0.500

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 head0.021
GPT teacher head0.273
Teacher spread0.252 · 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

Citations8
Published2015
Admission routes2
Has abstractyes

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