Unusually low pour point of fatty acid methyl esters with low saturated fatty acid content
Bibliographic record
Abstract
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 (R2 = 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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".