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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.811
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0010.001
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