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Effects of ultrasound-assisted punicalagin binding on the allergenicity reduction of soybean protein 7S

2025· article· en· W4409178203 on OpenAlexaff
Yan Xu, Jialu Shi, Xin Wang, Yue Wang, Yongxin Zhao, Vijaya Raghavan, Jin Wang

Bibliographic record

VenueFood Chemistry · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Hydrolysis and Bioactive Peptides
Canadian institutionsMcGill University
FundersNational Key Research and Development Program of ChinaKey Technologies Research and Development Program
KeywordsChemistryFood scienceReduction (mathematics)BiochemistryChromatographyMathematics

Abstract

fetched live from OpenAlex

Punicalagin (PUN) is the predominant polyphenol in pomegranate peels, and it has antioxidant property. This study aimed to explore the potential of PUN binding in reducing the allergenicity of soybean protein 7S (a major soy allergen). Ultrasound pretreatment (U7S) was used to enhance the availability of PUN binding sites. After PUN binding, the U7S conformation became more disordered, and the surface hydrophobicity was reduced. The molecular docking results indicated that the formation of the U7S-PUN complexes mainly depended on hydrogen bonding interactions. The phenolic hydroxyl group from PUN endowed U7S with high antioxidant properties, which were retained after digestion in the gastrointestinal tract. At a molar ratio of 1:50, U7S-PUN complexes reduced the IgG binding capacity by approximately 58.05 % and increased the rate of degranulation inhibition to about 35.87 %. This research offers a theoretical foundation for the use of PUN in the production of hypoallergenic plant-based protein products.

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 score0.002
Threshold uncertainty score0.445

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 head0.007
GPT teacher head0.226
Teacher spread0.219 · 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

Citations11
Published2025
Admission routes1
Has abstractyes

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