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Record W1985313527 · doi:10.1021/jf0726076

Changes and Roles of Secondary Structures of Whey Protein for the Formation of Protein Membrane at Soy Oil/Water Interface under High-Pressure Homogenization

2007· article· en· W1985313527 on OpenAlexafffund
Sangho Lee, Thierry Lefèvre, Muriel Subirade, Paul Paquin

Bibliographic record

VenueJournal of Agricultural and Food Chemistry · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProteins in Food Systems
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryAdsorptionWhey proteinMembraneProtein secondary structureHomogenization (climate)Chemical engineeringDesorptionFourier transform infrared spectroscopySoy proteinChromatographyProtein adsorptionProtein structureInfrared spectroscopyCircular dichroismCrystallographyOrganic chemistryFood scienceBiochemistry

Abstract

fetched live from OpenAlex

The conformational changes of whey proteins upon adsorption at the soy oil/water interface were investigated using Fourier transform infrared (FT-IR) spectroscopy. Significant changes were observed in the bands assigned to beta-sheets and alpha-helix structures following the adsorption of proteins at the oil/water interface. The remaining interfacial proteins after Tween 20 desorption revealed small changes in beta-sheet and alpha-helical structures, whereas in the desorbed whey proteins the unordered structures largely increased, and beta-sheet structures almost disappeared. These FT-IR results provide important knowledge about the conformational modifications in whey proteins occurring upon adsorption at the oil/water interface. Finally, specific conformational changes are necessary to stabilize emulsions: adsorption-induced unfolding, increase in alpha-helical structures to establish interactions with the oil phase, and aggregation between adsorbed whey proteins to form protein membranes. Moreover, the structural changes in whey protein adsorbed at the oil/water interface under high-pressure homogenization are irreversible.

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 score0.007
Threshold uncertainty score0.149

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 head0.011
GPT teacher head0.197
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

Citations99
Published2007
Admission routes2
Has abstractyes

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