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Record W3142577652 · doi:10.37885/210303494

AVALIAÇÃO DE FENÓLICOS TOTAIS E CAPACIDADE ANTIOXIDANTE DE FARINHA DE CUMBARU APÓS EXTRAÇÃO COM DIFERENTES SOLVENTES

2021· book-chapter· pt· W3142577652 on OpenAlexaff
Carolina Saori Ishii Mauro, Maria Thereza Carlos Fernandes, Fernanda Silva Farinazzo, José Renato da Silva, Sandra García

Bibliographic record

VenueEditora Científica Digital eBooks · 2021
Typebook-chapter
Languagept
FieldAgricultural and Biological Sciences
TopicAgricultural and Food Sciences
Canadian institutionsNovelis (Canada)
Fundersnot available
KeywordsChemistryABTSDPPHFood scienceAntioxidantOrganic chemistry

Abstract

fetched live from OpenAlex

O objetivo deste trabalho foi determinar a composição centesimal de farinha de amêndoa de cumbaru torrada com casca e avaliar o teor de compostos fenólicos totais (CFT) e capacidade antioxidante após extração com diferentes solventes orgânicos. Os solventes utilizados foram: 1) água destilada, 2) acetona 80%, 3) etanol 80%, 4) metanol 80% e 5) mistura contendo metanol 50%, acetona 70% e água. Os solventes foram testados para determinar o melhor extrator de CFT e capacidade antioxidante pelos métodos DPPH, ABTS e FRAP. O alimento apresentou lipídios, carboidratos e proteínas como componentes majoritários de sua composição. A mistura de solventes 5) foi mais eficaz para extração de CFT e na capacidade antioxidante pelos métodos ABTS e FRAP. Porém, no método DPPH, a mistura de solventes 5) e a solução contendo acetona 80% não diferiram entre si. A água como solvente extrator resultou na menor detecção dos compostos. Portanto, o teor de CFT e capacidade antioxidante mostraram-se dependentes do solvente de extração utilizado.

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)0.001
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.027
GPT teacher head0.224
Teacher spread0.197 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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