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Record W4293230542 · doi:10.1002/cjce.24623

Aqueous enzymatic extraction and quality evaluation of <i>Acer truncatum</i> Bunge seed oil

2022· article· en· W4293230542 on OpenAlexvenueno aff
Xiongjie Hu, Jie Wang, Wenjing Zhang, Fan Zhang, Shichao Tian, Zhiyong Zhou, Zhongqi Ren

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2022
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsExtraction (chemistry)CellulaseChemistryYield (engineering)Aqueous solutionChromatographyEnzymeMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Aqueous enzymatic extraction (AEE) of oil from Acer truncatum Bunge seed kernel was investigated. The effects of enzyme type on the extraction yield of oil were studied, and the results showed that the oil yield obtained with pentosanase was higher than that obtained with the other enzymes. The combination of pentosanase and cellulase showed better extraction performance than a single enzyme, and the operation parameters of the AEE method were optimized. A maximum oil yield of 37.94% was obtained. The analysis results of chemical compositions of the extracted oils showed that the content of unsaturated fatty acids in the oil extracted by the AEE method was 90.28%, and the content of nervonic acid was about 5.59%. In addition, the main physical and chemical properties of A. truncatum Bunge seed oil were measured. The oil obtained by the AEE method met the China National Standard of A. truncatum Bunge oil.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.263

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.028
GPT teacher head0.243
Teacher spread0.214 · 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

Citations7
Published2022
Admission routes1
Has abstractyes

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