MétaCan
Menu
Back to cohort
Record W1965737649 · doi:10.1021/jf9021114

Production of a Phenolic Antioxidant Enriched Cranberry Juice by Electrodialysis with Filtration Membrane

2009· article· en· W1965737649 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.

Bibliographic record

VenueJournal of Agricultural and Food Chemistry · 2009
Typearticle
Languageen
FieldEngineering
TopicMembrane-based Ion Separation Techniques
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsCRANBERRY JUICEChemistryNutraceuticalUltrafiltration (renal)Food scienceElectrodialysisProanthocyanidinAntioxidantVacciniumPolyphenolMembraneChromatographyBiochemistryBotanyBiology

Abstract

fetched live from OpenAlex

The fruit of the American cranberry is known for its benefits on human health and its nutraceutical potential. The enrichment of cranberry products with functional phytochemicals may improve their functionality for enhancing health benefits, but this enrichment may be difficult due to the commercial rarity and difficulty of purification of anthocyanins and other phytochemicals from natural sources. The aim of this work was to evaluate the feasibility of the production of a cranberry juice enriched with natural phenolic antioxidant compounds using an ultrafiltration (UF) membrane stacked in an electrodialysis (ED) cell. Total concentrations of proanthocyanidins and anthocyanins increased by 34.8% and 52.9%, respectively, in cranberry juice treated with the EDUF system. Moreover, an 18% increase of the antioxidant capacity of the enriched cranberry juice was obtained by the EDUF treatments. The EDUF process might be used for natural enrichment of cranberry juice with antioxidant phenolics.

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 score0.003
Threshold uncertainty score0.326

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 head0.004
GPT teacher head0.182
Teacher spread0.178 · 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