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Record W2098215354 · doi:10.1002/ejlt.201400500

Unusually low pour point of fatty acid methyl esters with low saturated fatty acid content

2015· article· en· W2098215354 on OpenAlexaffabout
Jieyu Nie, Sunmin Wang, Shahram Emami, Kevin C. Falk, Jianheng Shen, Martin J. T. Reaney

Bibliographic record

VenueEuropean Journal of Lipid Science and Technology · 2015
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of Saskatchewan
Fundersnot available
KeywordsBrassica rapaBrassicaFatty acidFood scienceChemistryPolyunsaturated fatty acidCultivarSaturated fatty acidRapeseedBotanyOrganic chemistryBiology

Abstract

fetched live from OpenAlex

Many oilseeds grown in Canada have unusual fatty acid profiles including Cruciferous oilseed varieties that have very low levels (<3%) of saturated fatty acid. In this study oil samples were obtained from five cultivars of Brassica rapa L ., seven cultivars of Brassica napus L. and five cultivars from other oilseeds species namely Brassica juncea L., Sinapis alba L., Camelina sativa L. and Linum usitatissimum L. The fatty acid profile, cloud point (CP) and pour point (PP) were determined for each oil sample. Fatty acid methyl esters (FAME) were synthesized from each oil sample. The saturated fatty acid content was highly correlated ( R 2 = 0.93) with PP in methyl esters prepared from Brassica sp. oils. In addition, we identified three publications where PP was measured on fatty acid methyl esters and found that the correlation of PP with saturated fat content was consistent with data presented herein. Since B. rapa oil exhibited superior low temperature properties, it was chosen for further studies of oxidative stability. B. rapa cultivars, with less than 3.5% saturated fat and less than 20% polyunsaturated fat, can be an excellent feedstock for production of oils with improved cold fluidity and oxidative stability. Practical applications: Here, we report studies on the relationship of saturated fat level with cold flow properties and polyunsaturated fat level with oxidative stability in fatty acid methyl esters made from oils with less than 10% total saturates. This research reveals potential keys to producing FAME with good oxidative stability and excellent low temperature performance. Brassica rapa with less than 3.5% saturated fat and less than 20% polyunsaturated fat has a pour point that is substantially better than oils with higher levels of saturated FAME. The lowest observed pour point was −21°C. FAME with this low temperature property could be used in a range of applications, such as cold‐flow improvers for biodiesel or bio‐lubricants. Effect of saturated fatty acid content on pour point (PP) of fatty acid methyl ester.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.332

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.225
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

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

Citations13
Published2015
Admission routes2
Has abstractyes

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