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Record W4416723272 · doi:10.1002/fci2.70042

Dual‐Functional Food‐Derived Bioactive Peptides: Expanding Beyond Biological Activity

2025· article· en· W4416723272 on OpenAlex
Xiaohong Sun

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFood Chemistry International · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Hydrolysis and Bioactive Peptides
Canadian institutionsNova Scotia Department of AgricultureDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaDalhousie University
KeywordsBiological activityIdentification (biology)Biological fluids

Abstract

fetched live from OpenAlex

ABSTRACT Food‐derived bioactive peptides (FBPs) are a diverse group of peptides with proven physiological benefits in vitro or in vivo. Although much research has focused on peptides with various biological activities, emerging strategies emphasize identifying dual‐functional peptides that combine bioactivity with practical food processing properties. From our perspective, linking the biological activities of peptides with food processing solutions offers a strong foundation for advancing the current state of dual‐functional peptides and their potential to drive the development of “clean label” food‐derived innovations. This article reviews the advancements in dual‐ and multifunctional food‐derived bioactive peptides (FBPs), explores the research on the combination of biological and techno‐functional properties, and provides directions for future research.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.019
Threshold uncertainty score1.000

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 head0.018
GPT teacher head0.263
Teacher spread0.245 · 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