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Characterization of Amino Cross‐Linked Soy Protein Hydrogels

2008· article· en· W2027069672 on OpenAlexafffund
Romain Caillard, Gabriel Remondetto, Mircea‐Alexandru Mateescu, Muriel Subirade

Bibliographic record

VenueJournal of Food Science · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProteins in Food Systems
Canadian institutionsUniversité du Québec à MontréalMinistère de l'Agriculture, des Pêcheries et de l'Alimentation
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsGlutaraldehydeSelf-healing hydrogelsSwellingSoy proteinChemistryCross-linkChemical engineeringMicrostructureMaillard reactionPolymer chemistryFood scienceChromatographyOrganic chemistryCrystallographyPolymer

Abstract

fetched live from OpenAlex

This study focused on amino cross-linking as means of forming soy protein hydrogels with modifiable properties. The efficiency of glyceraldehyde, a potential food-grade cross-linking agent, was compared to glutaraldehyde, a well-known dialdehyde. The influence of the concentration of these agents on the degree of cross-linking as well as macroscopic and supramolecular properties was studied. The effect of increasing the cross-linker concentration was mainly an increase in degree of cross-linking and gel storage modulus (G') and a decrease in gel swelling ratio and increase in gel deswelling ratio. However, the cross-linking influence was less pronounced in the case of glyceraldehyde. Glutaraldehyde displayed greater ability to form hydrogels with modifiable properties. Finally, electron micrographs suggested that cross-linking agent type had no impact on gel microstructure.

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 score0.123
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.043
GPT teacher head0.248
Teacher spread0.205 · 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

Citations58
Published2008
Admission routes2
Has abstractyes

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