Bibliographic record
Abstract
In partially hydrogenated vegetable oils (PHVO) more than 40 cis and trans fatty acids, primarily of the C18 chain length are possible. Partially hydrogenated fish oils (PHFO), invariably have much more complex fatty acid profiles because of the large number of possible isomers of the chain lengths ranging from C16 to C22. Traditionally, total trans content was determined by infrared (IR) spectroscopic techniques that do not quantify individual fatty acids. Nowadays, a satisfactory, and near quantitative analysis of fatty acid profile of PHVO can be achieved by gas chromatography (GC) using 100 m long capillary columns coated with highly polar cyanolsilicone stationary phases. In these columns, there is very little overlap of cis and trans isomers. Almost all the cyanosilicone capillary columns are capable of readily separating the low delta value trans 18:1 isomers (up to and including 12t-18:1) from the cis-18:1 isomers. If appropriate GC operating conditions are selected, then some cyanosilicone columns, especially, SP-2560 and CP-Sil 88, could provide a satisfactory saparation of the high delta isomers (13t-18:1, 14t-18:1, 16t-18:1) from the cis isomers. The 15t-18:1 is the only isomer that cannot be separated from the cis isomers. The geometric and positional isomers of linoleic and α-linolenic acids that are normally encountered in dietary fats could also be easily separated on cyanosilicone capillary columns. For applications requiring more precise trans fatty acid data and detailed information of individual isomers, it is necessary to couple capillary GC analysis with either silver nitrate-thin-layer or -high pressure liquid chromatography.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".