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RuBisCO Protein as an Antioxidant Emulsifier: Influence of Flavourzyme Enzymatic Modification on Oxidative Stability of Flaxseed Oil-in-Water Emulsion

2025· article· en· W4407389605 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

VenueACS Food Science & Technology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Hydrolysis and Bioactive Peptides
Canadian institutionsUniversity of Ottawa
FundersUniversity of Ottawa
KeywordsEmulsionAntioxidantOxidative phosphorylationChemistryEnzymeBiochemistryFood scienceChromatography

Abstract

fetched live from OpenAlex

This study evaluated the effect of enzymatic hydrolysis of the RuBisCO protein (RBS) on its dual antioxidant and emulsifying properties in flaxseed oil-in-water emulsions. The peroxide, para -anisidine, and total oxidation values demonstrated that RBS and Flavourzyme-hydrolyzed RBS (H-RBS) effectively reduced the lipid oxidation rate during the initial accelerated storage days (days 0–4). RBS exhibited superior ability in maintaining a consistent lipid oxidation rate inhibition during the last storage days (days 10–14). Dynamic light scattering revealed an increase in particle size for RBS and H-RBS emulsions, which further stabilized over days 7–14. Despite the high negative ζ-potential, the emulsions had a high polydispersity index (PDI), suggesting interactions with cationic oxidation products at the oil–water interface, contributing to emulsion destabilization. The findings provide valuable insight into the potential application of the dual antioxidant and emulsifying roles of RuBisCO as a sustainable protein for various purposes in food product development.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.559

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.012
GPT teacher head0.275
Teacher spread0.263 · 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