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Record W2794374841 · doi:10.1002/ejlt.201700423

Enzymatic Inter‐Esterification of Binary Blends Containing <i>Irvingia gabonensis</i> Seed Fat to Produce Cocoa Butter Substitute

2018· article· en· W2794374841 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEuropean Journal of Lipid Science and Technology · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Chemistry and Fat Analysis
Canadian institutionsnot available
FundersAgence Universitaire de la FrancophonieInternational Foundation for Science
KeywordsInteresterified fatFood scienceChemistryPalm stearinFat substitutePalm kernel oilRapeseedPalm oilOrganic chemistryEnzymeLipase

Abstract

fetched live from OpenAlex

In order to investigate Irvingia gabonensis seed fat (IGF) as a potential cocoa butter alternative (CBA), its melting behavior is first compared to that of cocoa butter (CB). It is then modified by blending 90% of this fat with 10% of a liquid oil either rapeseed oil (RO) or groundnut oil (GO) or palm super olein (PSO) or Dacryodes edulis pulp oil ( DPO). Those blends are then enzymatically interesterified in order to improve their melting profiles. The binary blend that shows a similar profile with CB and palm kernel stearin (PKS) is chosen as the best potential new speciality fat. Compatibility between the new speciality fat and CB is evaluated by constructing phase diagrams from NMR and XRD data. The interesterified blends with 90% of IGF and 10% of DPO is chosen as the new speciality fat because its profiles is close to that of CB and shows similar characterics to PKS. The results indicate that the specialty fat produced from IGF and DPO could be used as CBS in confectionery industries (alone or mixed in low proportion with CB). Practical Applications : Fractionnated and/or hydrogenated lauric fats are frequently used by confectionery industries to substitute CB. Results from this study demonstrate that an interesterified blend made of 90% IGF and 10% of DPO can be used also as CBS. The use of these two tropical oils ( Irvingia gabonensis seeds fat and Dacryodes edulis pulp oil) as new sources of CBS constitutes a promizing way for their valorization at an industrial scale. Irvingia gabonensis seed fat (IGF) is a naturel lauric fat source with a high quantity of lauric acid (≈37%). Its melting profile, which is similar to cocoa butter (CB), is too high for a direct use in its native state in confectionery application. When IGF is blend to Dacryodes edulis pulp oil and after enzymatically interesterified, its profile is close to that of CB. This result indicated that the interesterified blend can be used as cocoa butter subtitute in confectionery industries (alone or mixed in low proportion with CB).

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)0.001
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 score0.025
Threshold uncertainty score0.305

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.016
GPT teacher head0.220
Teacher spread0.205 · 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