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Record W2103543985 · doi:10.1139/v04-151

Comparison of the free radical scavenger activities of quercetin and rutin An experimental and theoretical study

2004· article· en· W2103543985 on OpenAlexvenueno aff
Carolina Aliaga, E. A. Lissi

Bibliographic record

VenueCanadian Journal of Chemistry · 2004
Typearticle
Languageen
FieldChemistry
TopicFree Radicals and Antioxidants
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryQuercetinRutinReactivity (psychology)RadicalScavengerFree radical scavengerAntioxidantMorinABTSFlavonoidMedicinal chemistryOrganic chemistryDPPH

Abstract

fetched live from OpenAlex

Natural radical scavengers have recently received considerable interest owing to the role of free radicals in causing oxidative stress in living organisms. Flavonoids constitute one of the most important families of molecules with antioxidant activities, a characteristic associated with the presence in their structure of hydroxyl groups bound to aromatic rings. Quercetin is a potent antioxidant whose high reactivity could be associated with the presence of the OH group in the C ring. To address the role of this group in quercetin's free radical scavenging capacity, we have carried out experimental determinations and theoretical calculations regarding the reactivity of quercetin and rutin. The reactivity of both compounds towards free radicals was assessed employing the radical anion 2,2′-azinobis(3-ethylbenzothiazoline-6-sulfonate) and peroxyl radicals. These measurements indicate that quercetin is more reactive and has more reactive centers than rutin, suggesting that the extra OH group located in the C ring could directly contribute to reactivity of quercetin. This conclusion is in agreement with the evaluation of local reactivity indexes, such as the Fukui function.Key words: quercetin, rutin, antioxidant activity, ABTS •– , peroxyl radicals, Fukui function, local reactivity index.

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 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 score0.057
Threshold uncertainty score0.451

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 studies0.0000.001
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 head0.012
GPT teacher head0.261
Teacher spread0.249 · 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 teacher head, 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

Citations36
Published2004
Admission routes1
Has abstractyes

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