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Record W2312225381 · doi:10.1021/ef3006564

Synergistic Effects of Skeletal Isomerization on Oleic and Palmitic Acid Mixtures for the Reduction in Cloud Point of Their Methyl Esters

2012· article· en· W2312225381 on OpenAlexafffund
Stephen J. Reaume, Naoko Ellis

Bibliographic record

VenueEnergy & Fuels · 2012
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIsomerizationChemistryCloud pointOleic acidPalmitic acidOrganic chemistryFatty acidBiodieselCatalysisBiochemistryAqueous solution

Abstract

fetched live from OpenAlex

Biodiesel is composed of saturated and unsaturated fatty acid esters, both of which have significant effects on the cloud point of biodiesel. These two classes of fatty acids also react differently to isomerization reactions for cloud point improvement. This study examines the effects of isomerization and hydroisomerization on the two most common saturated and unsaturated fatty acids that make up vegetable oils, i.e., palmitic and oleic acids, respectively. The two fatty acids are placed under two different reactions and analyzed both separately and mixed for the cloud point improvement of their esters. The two reactions, isomerization and hydroisomerization, are run at 250 °C and 1 MPa H 2 and at 300 °C and 4 MPa H 2, respectively. Negative and positive results were shown, i.e., cis to trans isomerization, causing an increase in cloud point, and branching, causing a reduction in cloud point. A 7.5 °C reduction in cloud point is achieved on the esters of a 55:45 (%) oleic acid/palmitic acid ratio, showing that isomerization and hydroisomerization reactions can successfully lower the cloud point of a mixture of fatty acid methyl esters.

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 score0.031
Threshold uncertainty score0.246

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 studies0.0000.000
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 head0.008
GPT teacher head0.212
Teacher spread0.204 · 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

Citations20
Published2012
Admission routes2
Has abstractyes

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