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Record W4210571069 · doi:10.1080/87559129.2022.2029479

Anthocyanins and Proanthocyanidins: Chemical Structures, Food Sources, Bioactivities, and Product Development

2022· article· en· W4210571069 on OpenAlexaff
Qianqian Qi, Mei‐Jun Chu, Xiuting Yu, Yanning Xie, Yali Li, Yongmei Du, Xinmin Liu, Zhongfeng Zhang, John Shi, Ning Yan

Bibliographic record

VenueFood Reviews International · 2022
Typearticle
Languageen
FieldMedicine
TopicPhytochemicals and Antioxidant Activities
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsProanthocyanidinAnthocyaninFood scienceHyperlipidemiaFood productsChemistryBiotechnologyBiologyAntioxidantPolyphenolDiabetes mellitusBiochemistry

Abstract

fetched live from OpenAlex

Anthocyanins and proanthocyanidins are widespread in the plant kingdom and are involved in important bioactivities, such as antioxidation. These flavonoids can reduce the risk of cardiovascular diseases, cancer, high blood pressure, hyperlipidemia, and diabetes; consequently, they are widely studied for disease prevention and treatment. In this review, we summarize recent advances in our understanding of the chemical structures, food sources, and bioactivities of these compounds. We also discuss recent developments and trends related to anthocyanin- and proanthocyanidin-derived products. This review provides insights to inform related research and inspire future studies to help realize the potential of these plant pigments.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.034
GPT teacher head0.267
Teacher spread0.233 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations268
Published2022
Admission routes1
Has abstractyes

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