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Record W2756405296 · doi:10.5539/jas.v9n10p178

Magonia pubescens (Sapindaceae) Seed Oil: Physical and Chemical Properties, Fatty Acid Profile and Biodiesel Production

2017· article· en· W2756405296 on OpenAlexvenueno aff
Juliana Almeida Rocha, Elytânia Veiga Menezes, Francine Souza Alves da Fonseca, Murilo Malveira Brandão, Kamylla Teixeira Santos, Dario Alves de Oliveira, Afrânio Farias de Melo Júnior, Vanessa de Andrade Royo

Bibliographic record

VenueJournal of Agricultural Science · 2017
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsnot available
FundersUniversidade Federal de Minas Gerais
KeywordsSaponification valueIodine valueBiodieselChemistrySaponificationAcid valuePeroxide valueFood scienceStearic acidOleic acidBiodiesel productionBotanyOrganic chemistryBiologyBiochemistryCatalysis

Abstract

fetched live from OpenAlex

Magonia pubescens is a tree species originally from the Brazilian Cerrado that bears fruit with winged seeds from which fixed oil can be extracted. This study aimed to analyze the physical and chemical properties of the oil extracted from these seeds and the biodiesel produced thereof. Methods from the Adolfo Lutz Institute, American Oil Chemists Society, and American Society for Testing and Materials were used. Seven fatty acids (oleic, arachidic, gadoleic, palmitic, palmitoleic, linoleic, and stearic acids) were found in the oil. Acidity level (1.119 mg KOH·g-1), iodine value (77.36 cg I2·g-1), saponification value (133.36 mg KOH·g-1), density (0.8796 g·cm-3), and refractive index (1.3348nD) were low when compared to the high peroxide value (26.14 meq·kg-1), viscosity (101.46 mm²·s-¹), and moisture (0.88%) of other oils and fats used for biodiesel production. Biodiesel showed density (0.8484 g·cm-3), viscosity (29.62 mm-2·s-1), acidity level (0.752 mg KOH·g-1), and saponification value (148.89 mg KOH·g-1).

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score0.375

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.016
GPT teacher head0.221
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 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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