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Record W2043849896 · doi:10.1007/s11746-011-1818-8

Adsorption of Soy Protein Isolate in Oil‐in‐Water Emulsions: Difference Between Native and Spray Dried Isolate

2011· article· en· W2043849896 on OpenAlexafffund
Maneephan Keerati‐u‐rai, Zebin Wang, Milena Corredig

Bibliographic record

VenueJournal of the American Oil Chemists Society · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProteins in Food Systems
Canadian institutionsUniversity of Guelph
FundersOntario Ministry of Research and Innovation
KeywordsSoy proteinPlant proteinChemistryChromatographyDenaturation (fissile materials)AdsorptionPea proteinFood scienceElectrophoresisNuclear chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The purpose of this study was to determine the differences in the emulsifying properties of isolated soy protein prepared in the pilot plant (heated and spray dried) or in the laboratory (unheated and freeze‐dried), from the same soy flakes. When the thermal transitions were measured by micro‐calorimetry, the protein isolated in the pilot plant showed a very broad thermal transition, while the native isolate showed two distinct transition peaks, attributed to β‐conglycinin and glycinin denaturation. Electrophoretic analysis and protein assay of the soluble protein in the fractions revealed a significantly smaller amount of protein recovered in the centrifugal supernatant for the isolated soy protein prepared in the pilot plant than for the native protein. A larger amount of ions was recovered in the pilot plant isolate. However, the thermal treatment of the solutions increased the recovery of the pilot plant isolate proteins in the centrifugal supernatant, with an opposite effect for the native soy protein. A significantly larger amount of pilot plant isolated protein was needed to prepare emulsions with the same characteristics of those prepared with native soy protein. The emulsions prepared with pilot plant isolates showed much lower susceptibility to heating than those prepared with native protein.

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)0.001
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 score0.241
Threshold uncertainty score0.199

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.027
GPT teacher head0.227
Teacher spread0.200 · 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

Citations30
Published2011
Admission routes2
Has abstractyes

Explore more

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