Non‐conjugated <i>cis</i>/<i>trans</i> 18:2 in Beef Fat are Mainly Δ‐9 Desaturation Products of <i>trans</i>‐18:1 Isomers
Bibliographic record
Abstract
Abstract Human liver cells (HepG2) were cultured with individual trans ( t ) 18:1 including t 6‐, t 12‐, t 13‐, t 14‐, t 15‐ and t 16‐18:1, and retention times of their Δ‐9 desaturation products were determined using 100‐m biscyanopropyl‐polysiloxane and SLB‐IL111 columns. Corresponding peaks were found in beef adipose tissues known to have different delta‐9 desaturase activities. Further lines of evidence indicating the presence of Δ‐9 desaturation products of t ‐18:1 isomers in beef fat were developed by analysis of fatty acid methyl esters (FAME) fractionated using Ag + ‐TLC, and by GC/MS. Some of the Δ‐9 desaturation products of t ‐18:1 have been previously identified in ruminant fat ( c 9, t 12‐ and c 9, t 13‐18:2). Some of the Δ‐9 desaturation products of t ‐18:1 ( c 9, t 14‐ and c 9, t 15‐18:2) have been previously tentatively identified as different fatty acids, and for the first time we provide evidence of the presence of c 9, t 16‐18:2, and where t 6, c 9‐18:2 may elute during analysis of FAME from beef fat.
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 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".