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Record W2910840408 · doi:10.5539/jas.v11n2p489

Seed Storage Indicates the High Stability of Babaçu Oil (Attalea vitrivir Zona)

2019· article· en· W2910840408 on OpenAlexvenueno aff
Higor Fernando Salvador, Sirleane Martins Rocha, Sônia Ribeiro Arrudas, Leonardo Monteiro Ribeiro, Vany Ferraz, Henrique Maia Valério, Geraldo Aclécio Melo, Paulo Henrique Fidêncio, Márcio Antônio Silva Pimenta

Bibliographic record

VenueJournal of Agricultural Science · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed Germination and Physiology
Canadian institutionsnot available
FundersFundação de Amparo à Pesquisa do Estado de Minas GeraisConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsPeroxide valuePalm oilChemistryLauric acidFood scienceHorticultureBotanyFatty acidBiologyBiochemistry

Abstract

fetched live from OpenAlex

Because the babaçu palm (Attalea vitrivir) has been considered for incorporation into programs of biofuel production, in this work we evaluated the influence of the geographic origins and storage conditions of babaçu palm seeds on the quantity and quality of their extracted oils. Seeds harvested from three different areas were stored for 12 months under natural environmental conditions (mean temperature 25 ºC), under refrigeration (4 ºC), or in a freezer (-20 °C). We determined their water and oil contents, acidity and peroxide levels, refractive indices, and their fatty acid profiles. The original water content of the seeds was 4.9%, becoming reduced by half during storage. Oil represented 53% of the seed weight, with lauric acid predominating throughout storage. The seed oil demonstrated high oxidative stability, with low levels of acidity and peroxide formation, independent of seed origin or storage conditions. The high quality of Attalea vitrivir oil and its stability confirm its potential for agroindustrial use.

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 score0.001
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
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.217
Teacher spread0.205 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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