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Record W1981104986 · doi:10.1080/10942910902894906

Selected Post-Heating Properties of Microwave or Hot Water Heated Egg White for In-Shell Pasteurization

2010· article· en· W1981104986 on OpenAlexaff
Satyanarayan Dev, Valérie Orsat, Yvan Gariépy, G. S. V. Raghavan, C.A. Ruiz-Feria

Bibliographic record

VenueInternational Journal of Food Properties · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Inactivation Methods
Canadian institutionsMcGill University
FundersOffice of International Science and Engineering
KeywordsPasteurizationEgg whiteShell (structure)MicrowaveEnthalpyMaterials scienceTurbidityChemistryViscosityComposite materialFood scienceThermodynamicsBiology

Abstract

fetched live from OpenAlex

Heat treatments adversely affect the functional properties of the egg white. The selected properties of egg white after in-shell pasteurization by microwave heating were compared to that of egg white after in-shell pasteurization by immersion in hot water. The effects of the heat treatments on egg white enthalpy of denaturation, viscosity, turbidity, foam density, and stability, and also the dielectric properties, were investigated and compared to that of untreated egg white. Results demonstrated that microwave pasteurized in-shell eggs had nearly 20% higher enthalpy of denaturation, 4 times more viscosity, 50% more stable foam with 30% less foam density and 78% clearer, on an average, when compared to the water bath pasteurized ones.

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)0.001
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.026
GPT teacher head0.270
Teacher spread0.244 · 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

Citations13
Published2010
Admission routes1
Has abstractyes

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