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Record W2114210737 · doi:10.5539/jas.v4n10p175

Phenolic Compounds and Antioxidant Activity from Saffron (Crocus sativus L.) Petal

2012· article· en· W2114210737 on OpenAlexvenueno aff
Sayed Amir Hossein Goli, Fereshteh Mokhtari, Mehdi Rahimmalek

Bibliographic record

VenueJournal of Agricultural Science · 2012
Typearticle
Languageen
FieldMedicine
TopicSaffron Plant Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGallic acidCrocus sativusDPPHChemistryAntioxidantCrocinFood scienceAscorbic acidPetalCrocusCarotenoidCaroteneTraditional medicineBotanyOrganic chemistryBiochemistryBiology

Abstract

fetched live from OpenAlex

Saffron petal is the main by-product of saffron processing which is producing in large amounts annually. The purposes of this work were to determine total phenolics content in the methanolic extract of saffron petal using Folin-ciocalteu reagent and to measure their antioxidant activity in various in vitro models, such as ?-carotene-linoleate and 1,1-diphenyl-2-picryl hydrazyl (DPPH). Saffron petal extract in different concentrations (0.5-5 mg ml-1) were compared with standard antioxidants of ascorbic acid, ?-tocopherol and TBHQ (0.5-1 mg ml-1). Total phenolics content was 3.42 mg gallic acid/g dry weight. In model systems of beta-carotene-linoleate and DPPH, the extract at 500 ppm concentration showed 91.4% and 74.2% antioxidant activity which was comparable with that of TBHQ (93.1% and 77.9%) at 100 ppm. The results showed that saffron petal could be considered as a bioresource of phenolic compounds with high antioxidant activity.

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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.025
GPT teacher head0.300
Teacher spread0.276 · 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

Citations75
Published2012
Admission routes1
Has abstractyes

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