Silver ion solid‐phase extraction cartridges employing glass housings overcome the limitations observed in the GC analysis of animal lipids with low <i>trans</i> fatty acid content
Bibliographic record
Abstract
Custom made silver ion solid‐phase extraction (Ag+‐SPE) cartridges with glass housing were evaluated to see whether they could be used to analyze the trans fatty acids (TFA) in animal products when present at low concentration. Previous attempts were not successful to identify and characterize the TFA using commercial Ag+‐SPE cartridges, because of the coelution of artifacts from these cartridges. The glass cartridges proved successful to identify the low levels of TFA present in horse and wild boar meat. It is recommended that the supplier make available Ag+‐SPE cartridges in glass housing to avoid the problem of interferences. Practical applications: It was previously shown that commercially available silver ion solid‐phase extraction (Ag+‐SPE) cartridges could not be used to analyze biological samples with low levels of TFAs, because of interfering contaminants that eluted from the polypropylene housing. Custom made glass cartridges were generously provided by the supplier, and they proved successful to fractionate the geometric isomers of horse and wild boar lipids both of which are known to contain low levels of TFAs. Subsequent gas chromatographic analysis made it possible to identify the trans and cis isomers without interference of contaminants. The unsaturated fatty acid fractions from these glass cartridges were also free of contaminants. Ag+‐SPE cartridges in glass housing are recommended to resolve and identify the trans isomers when present at low concentrations in biological samples.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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".