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Record W2564260080 · doi:10.1002/ejlt.201600354

The use of ATR‐FTIR spectroscopy to measure changes in the oxirane content and iodine value of vegetable oils during epoxidation

2017· article· en· W2564260080 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.

Bibliographic record

VenueEuropean Journal of Lipid Science and Technology · 2017
Typearticle
Languageen
FieldChemistry
TopicEdible Oils Quality and Analysis
Canadian institutionsMcGill UniversityUniversity of Alberta
Fundersnot available
KeywordsIodine valueFourier transform infrared spectroscopyCanolaAttenuated total reflectionChemistryDegree of unsaturationIodineVegetable oilDouble bondAbsorption (acoustics)Infrared spectroscopyOrganic chemistryMaterials scienceChemical engineeringFood science

Abstract

fetched live from OpenAlex

A rapid attenuated total reflectance Fourier transform infrared (ATR‐FTIR) method was developed to simultaneously measure for vegetable oils both their oxirane oxygen content (OOC) and the change in their iodine values (IV) that occur during their epoxidation. The method uses the peak area of the epoxy functional group absorption (1497.3–1432.0 cm −1 ) to measure OOC and the HCabsorption associated with a carbon–carbon double bond (3017.5–3004.2 cm −1 ) to determine the relative changes in iodine value (ΔIV). Calibrations were developed by gravimetrically blending epoxidized canola oil (ECO) with unreacted canola oil (CO) to vary both OOC and IV. Oils including canola, camelina, and flaxseed were epoxidized, during which the OOC and ΔIV were tracked as a function of time using both the new ATR‐FTIR procedures and the standard ASTM methods. Both the OOC and ΔIV values measured by the ATR‐FTIR method correlate well to values from standard methods ( R 2 ≥ 0.992 and mean relative error of <3%). The FTIR procedure is simple and fast to perform and facilitates the determination of selectivity (conversion of double bonds into oxirane group) and the end‐point for the epoxidation reaction, which requires measurement of both OOC and IV. Practical applications: The ATR‐FTIR method described provides a simple, rapid, and accurate means for the measurement of OOC as well as changes in iodine value during the epoxidation of vegetable oils. This allows for the determination of the degree of conversion of lipid unsaturation into epoxides. This method can be employed by manufacturers and research laboratories to study, control, and optimize epoxidation processes. The ATR‐FTIR methods described in this paper provide a simple and rapid means of monitoring OOC and IV changes during the epoxidation of vegetable oils. These methods are calibrated against standard titrimetric procedures and have been shown to produce similar results. It is especially useful that OOC and ΔIV, the two measures that are most relevant for monitoring the progress of a triacylglycerol oil epoxidation reaction, can be obtained from a single analysis. This facilitates monitoring and optimizing epoxidation processes. If the initial IV of oil is known, the method can also be used to calculate the yield, conversion, and selectivity of the reaction, as well as a study the reaction kinetics.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.007
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.076
GPT teacher head0.275
Teacher spread0.199 · 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