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Record W3096231256 · doi:10.1080/10942912.2020.1828458

A tailored nanostructure design to protect camel casein-curcumin complex against the upper gastrointestinal tract hydrolysis using aggregated whey proteins in order to increase its antioxidant activity

2020· article· en· W3096231256 on OpenAlexaff
Haniye Takbirgou, Maryam Salami, Zahra Emam‐Djomeh, Mostafa I. Waly, Shima Momen, Atiyeh Ghasemi, Ali Akbar Moosavi‐Movahedi

Bibliographic record

VenueInternational Journal of Food Properties · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProteins in Food Systems
Canadian institutionsUniversité Laval
FundersUniversity of Tehran
KeywordsCurcuminCaseinWhey proteinChemistryWhey protein isolateHydrolysisDigestion (alchemy)PepsinFood scienceAntioxidantBeta-lactoglobulinGastrointestinal tractDenaturation (fissile materials)BiochemistryChromatographyEnzymeNuclear chemistry

Abstract

fetched live from OpenAlex

Casein is an excellent carrier for curcumin, but it is susceptible to hydrolysis in gastrointestinal digestion. This study intended to design a tailored nano-carrier composed of camel casein/bovine whey protein to protect casein and curcumin during digestion. After loading curcumin to the casein, whey protein was added to solution followed by heating at 80°C for 10 min in order to form casein/whey protein aggregations. Binding of curcumin to the solution was assayed by fluorescence. The results showed that in the existence of aggregated whey proteins, stability of curcumin against gastrointestinal condition significantly improved. These results attributed to the protective effect of the aggregated whey proteins during the gastric digestion and denaturation in the accessibility of pepsin to the casein. It was demonstrated that this method might be a good design to combat susceptibility of casein without the use of any synthetic material.

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)0.002
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 score0.057
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.090
GPT teacher head0.257
Teacher spread0.167 · 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

Citations10
Published2020
Admission routes1
Has abstractyes

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