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Record W1410077943 · doi:10.1089/jmf.2012.0278

Phenolics and Antioxidant Activity of Saskatoon Berry ( <i>Amelanchier alnifolia</i> ) Pomace Extract

2014· article· en· W1410077943 on OpenAlexaboutno aff
Ruiqi Li, Navam Hettiarachchy, Srinivas Rayaprolu, Satchithanandam Eswaranandam, Bruce Howe, Mike Davis, Alok Jha

Bibliographic record

VenueJournal of Medicinal Food · 2014
Typearticle
Languageen
FieldMedicine
TopicPhytochemicals and Antioxidant Activities
Canadian institutionsnot available
Fundersnot available
KeywordsPomaceBerryTroloxFood scienceChemistryPolyphenolFlavonolsAntioxidantOxygen radical absorbance capacityBotanyChlorogenic acidAntioxidant capacityHorticultureBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

Saskatoon berries (Amelanchier alnifolia Nutt.) have significantly higher levels of anthocyanins (ACY) among berries with potential health benefits. The pomace is a by-product of juice extracted from berries and is a potential source of inexpensive polyphenols. The objectives of this study were to extract the maximum amount of total phenolics from saskatoon pomace, to determine the antioxidant activity, and to identify individual phenolic components. Pomace extracts showed high content of total phenolics, total ACY, and total flavonoids of 43.3, 2.8, and 10.3 g/kg of dried weight (DW) of pomace. A high oxygen radical absorbing capacity value of 119.4 μmol Trolox equivalents/g DW and free radical scavenging activity of pomace extract (200 ppm, 86.8%) were observed. Five major ACY, two flavonols, and three chlorogenic acids were identified and quantified in pomace extracts. This study shows that saskatoon berries pomace rich in antioxidant phenolics could be extracted by "green" solvents (water and ethanol) and used as suitable food product applications.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.254
Teacher spread0.242 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations16
Published2014
Admission routes1
Has abstractyes

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