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Record W2773416847 · doi:10.1093/fqsafe/fyx023

Ellagic acid in strawberry (Fragaria spp.): Biological, technological, stability, and human health aspects

2017· article· en· W2773416847 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

VenueFood Quality and Safety · 2017
Typearticle
Languageen
FieldNursing
TopicPomegranate: compositions and health benefits
Canadian institutionsAgriculture and Agri-Food CanadaUniversité de Moncton
Fundersnot available
KeywordsEllagic acidNutraceuticalFragariaFood sciencePostharvestChemistryHealth benefitsFunctional foodAntioxidantHuman healthBlowing a raspberryBiologyPolyphenolHorticultureTraditional medicineBiochemistryMedicine

Abstract

fetched live from OpenAlex

Ellagic acid (EA) is one of the plant phenolics associated with human health benefits. It derives from ellagitannins found in some nuts, seeds, and fruits, especially berries. Strawberries are considered a functional food and nutraceutical source, mainly because of their high concentration of EA and its precursors. This review presents the current state of knowledge regarding EA, focusing on its content in strawberry plants, stability during processing and storage of strawberry-based foods, production methods, and relevance to human health. As alternatives to acid-solvent extraction, fermentation-enzymatic bioprocesses hold great promises for more eco-efficient production of EA from plant materials. Strawberry fruits are generally rich in EA, with large variations depending on cultivar, growth conditions and maturity at harvest. High EA contents are also reported in strawberry achenes and leaves, and in wild strawberries. Strawberry postharvest storage, processing and subsequent storage can influence EA content. EA low concentration in strawberry juice and wine can be increased by incorporating pre-treated achenes. Widespread recognition of strawberries as functional foods is substantiated by evidence of EA biological effects, including antioxidant, antiinflammatory, antidiabetic, cardioprotective, neuroprotective, and prebiotic effects. The health benefits attributed to EA-rich foods are thought to involve various protective mechanisms at the cellular level. Dietary EA is converted by the intestinal microbiota to urolithins, which are better absorbed than EA and may contribute significantly to the health effects attributed to EA-rich foods. Based on the evidence available, strawberry EA shows strong promises for functional, nutraceutical, and pharmaceutical applications. Future research should be directed at quantifying EA in different parts of the strawberry plant and in their byproducts; optimizing EA production from byproducts; understanding the biological actions of EA-derived metabolites in vivo, including the interactions between EA metabolites, other substances and food/biological matrices; characterizing the conditions and microorganisms involved in urolithin production; and developing delivery systems that enhance EA functionality and bioactivity.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.150
GPT teacher head0.390
Teacher spread0.240 · 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