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Record W4322762704 · doi:10.1016/j.lwt.2023.114624

Effect of ultra-high pressure homogenization on structural and techno-functional properties of egg yolk granule proteins

2023· article· en· W4322762704 on OpenAlexafffund
Romuald Gaillard, Diane Gagnon, Véronique Perreault, Alice Marciniak, Yves Pouliot, G. J. Brisson, Alain Doyen

Bibliographic record

VenueLWT · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProteins in Food Systems
Canadian institutionsUniversity of GuelphUniversité Laval
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsYolkGranule (geology)Homogenization (climate)Disulfide bondChemistryChromatographySolubilityFood scienceBiochemistryBiologyOrganic chemistryEcology

Abstract

fetched live from OpenAlex

The impact of ultra-high pressure homogenization (UHPH) (175 and 300 MPa, 1 and 4 passes) on the structure of egg yolk granule was evaluated to improve the techno-functional properties of the proteins. The UHPH treatment destabilized and modified the structure of egg yolk granule proteins, which was validated by protein profiles from gel electrophoresis. A decrease of free thiol and an increase of disulfide bond content was correlated with a decrease of the surface hydrophobicity, specifically at 300 MPa with 4 passes. The structural modifications induced by UHPH, mainly at 300 MPa (1 and 4 passes), improved the water and oil binding capacities of egg yolk granules with values ranging from 1.30 to 1.55 gwater/ggranule and 3.34 to 3.73 goil/ggranule, respectively as well as their stability index. However, egg yolk granule solubility was not impacted by the application of UHPH. These new insights are key to supporting the development of new egg yolk granule-based ingredients for the food industry.

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 score0.035
Threshold uncertainty score0.129

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 head0.016
GPT teacher head0.202
Teacher spread0.186 · 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
Published2023
Admission routes2
Has abstractyes

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