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Record W2796740676 · doi:10.5539/jas.v10n5p150

Phytometal Availability, Evaluation of Antioxidant Activity and Total Phenolic Compounds of Genipa americana L. (Rubiaceae) Fruits

2018· article· en· W2796740676 on OpenAlexvenueno aff
Oneil Valerio Ávila, Ismael Montero-Fernández, Habdel Nasser Rocha da Costa, Ricardo Carvalho dos Santos, Pedro Rômulo Estevam Ribeiro, Valdinar Ferreira Melo, Ana Cristina Gonçalves Reis de Melo, Ednalva Dantas Rodrigues da Silva Duarte, Antonio Alves de Melho Filho

Bibliographic record

VenueJournal of Agricultural Science · 2018
Typearticle
Languageen
FieldChemistry
TopicHeavy Metals in Plants
Canadian institutionsnot available
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsChemistryDPPHRubiaceaePulp (tooth)Food sciencePotassiumAntioxidantAtomic absorption spectroscopyNuclear chemistryBotanyMineralogyOrganic chemistryBiology

Abstract

fetched live from OpenAlex

The present work studied the fruits of genipap (Genipa americana L.) occurring in the city of Boa Vista, Roraima, State, Brazil. The content of the following minerals being evaluated: B, Ca, Cu, Fe, Mg, Mn, Na, P, Zn and their antioxidant activity on pulp, peel, seeds and oil extracted from the seeds. The levels of the minerals present in the different parts of the fruit were analyzed by flame atomic absorption spectroscopy (FAAS), flame atomic emission spectrometry (FAES) and UV-visible spectroscopy (UV/VIS). The mineral with the highest content was the potassium found in the peel (1,248.48±4.59 mg 100 g-1). The studies showed that the phenolic compounds are closely related to the antioxidant activity, in this study the peel presented the highest phenolic compounds content 712.21±11.04 mg GAE 100 g-1 and the pulp showed the highest capacity of Capture of the DPPH free radical of 661.34±17.12 EC50 mg mL-1, thus the genipap is a fruit with a potential food of the Roraima region.

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 score0.005

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 head0.034
GPT teacher head0.310
Teacher spread0.275 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

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