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Record W6996672150

Sous vide cooking changes lipid bioaccessibility of egg yolks

2020· dissertation· en· W6996672150 on OpenAlexaff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2020
Typedissertation
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsYolkRaw materialDigestion (alchemy)Lipid oxidationParticle size
DOInot available

Abstract

fetched live from OpenAlex

Significant correlations exist between structure and lipid bioaccessibility in egg yolks. Structural changes of raw (20°C) and cooked egg yolks (65 – 85°C) were determined using rheology, thermal analysis, Fourier-transform infrared spectroscopy. A multi-compartmental in vitro gastrointestinal digestion system, TIM-1, was used to elucidate the effects of cooking temperature on three bioaccessibility parameters – total bioaccessibility, induction time, and rate of lipolysis. Results showed significant differences in bioaccessibility parameters between treatments in cumulative bioaccessibility, such that it decreased from 25.1 – 29.4% in raw yolks to 19.8 –24.1% in 85°C yolks. Induction time also increased from 138 – 156 min in raw yolks to 158 – 184 min in 85°C yolks. Visualization and image analysis of raw and cooked yolk during digestion showed obvious differences in particle size. Lipid bioaccessibility had a negative relationship between storage modulus (G′) and intermolecular β-sheets content, whereas increases in peak enthalpy were positively related to increases in lipid bioaccessibility.

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 score0.001
Threshold uncertainty score0.005

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)0.0010.000

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 head0.024
GPT teacher head0.256
Teacher spread0.232 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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