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Record W2782062748 · doi:10.21577/1984-6835.20170154

The Effect of Chlorophyll Degradation (ECD) as Qualitative Antioxidant Assay in Eruca sativa Leaves

2017· article· en· W2782062748 on OpenAlexaff
Regilany Paulo Colares, Telma L. G. Lemos, Francisco José Queiroz Monte, Juan Carlos Alvarado Alcócer, Mauro Macêdo de Oliveira, Aluísio Marques da Fonseca

Bibliographic record

VenueRevista Virtual de Química · 2017
Typearticle
Languageen
FieldMedicine
TopicAntioxidant Activity and Oxidative Stress
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsErucaDegradation (telecommunications)ChlorophyllChlorophyll aAntioxidantChemistryHorticultureBotanyBiologyEngineeringBiochemistryTelecommunications

Abstract

fetched live from OpenAlex

Resumo: A atividade antioxidante de um composto uma propriedade biolgica que tem como funo retardar as reaes de degradao oxidativa, e desta forma, reduzir a velocidade da oxidao por um ou mais mecanismos, como a inibio de radicais livres ou a complexao de metais. O papel dos antioxidantes proteger as clulas sadias do organismo contra a ao oxidante dos radicais livres. Este trabalho tem como objetivo contribuir com uma nova forma de determinar qualitativamente a capacidade antioxidante de substncias orgnicas, usando uma metodologia simples e de baixo custo. Tanto o efeito do sequestro de radicais livres (DPPH) como o efeito da degradao da clorofila (EDC) mostraram que a atividade depende da concentrao. A atividade antioxidante pelo DPPH variou de acordo com o material examinado, com valores de IC 50 que foram 2,60x10 -5 mg.mL -1 para a quercetina, em comparao com os padres positivos 3,95x10 -6 mg.mL -1 (trolox) e 6,29x10 -6 mg.mL -1 (vitamina C). No entanto, revelou diferena significativa apenas para o sitosterol, mostrando que a quercetina, trolox e vitamina C so substncias antioxidantes.

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)0.002
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score0.666

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.019
GPT teacher head0.356
Teacher spread0.337 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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