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Interaction of pea protein isolate with betanin in red beet (Beta vulgaris L.) extract: Influence on structure, antioxidant properties and stability at pH 3

2025· article· en· W4412013215 on OpenAlex

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 · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Research and Applications
Canadian institutionsNatural Sciences and Engineering Research Council of CanadaDalhousie University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBetaninAntioxidantChemistryFood scienceBETA (programming language)BiochemistryBotanyBiology

Abstract

fetched live from OpenAlex

Betanin, the red pigment in red beet extract (RBE), is susceptible to degradation under acidic conditions, limiting its application as a colorant and ingredient in food products. This study investigated complex formation between betanin in RBE with pea protein isolate (PPI) to improve the stability of betanin at pH 3. Spectroscopic analysis showed that the interactions between PPI and RBE affected the secondary and tertiary structure of PPI, and a transition from α-helical to β-sheet conformation occurred. Gel-electrophoresis confirmed that PPI proteins were involved in PPI-RBE interactions. Furthermore, the size of PPI-RBE particles was found to increase with an increase in RBE concentration. As the PPI-RBE complex had improved antioxidant activity and long-term refrigerated stability compared to the RBE control, this indicates that PPI-RBE complexes could expand the applicability of betanin as a natural colorant and antioxidant in acidic foods while also increasing nutritional value with the added pea 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.

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 score0.070
Threshold uncertainty score0.147

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 head0.022
GPT teacher head0.233
Teacher spread0.211 · 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