Lipidomic Analysis of the Effect of Irradiation on the Flavor of Chilled Pigeon Meat
Bibliographic record
Abstract
In order to explore the characteristic flavor compounds and to infer the possible main flavor precursors in irradiated pigeon meat, the changes of volatile compounds and lipid metabolites in irradiated pigeon meat were analyzed by headspace solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) and ultra-high performance liquid chromatography-tandem quadrupole time-of-flight high-resolution tandem mass spectrometry (UPLC-Triple-TOF MS/MS). The results showed that hydrocarbon and aldehydes were the major volatile components in pigeon meat. There were 10 key flavor components identified, among which, nonanal, (E)-2-hexenal, decanal, hexanal, (E)-2-octenal, (E,E)-2,4-nonadienal, octanal, 2,4-decadienal, and 1-octen-3-ol substances were derived from lipid oxidation, and nonanal aldehydes such as aldehydes, decanal, and hexanal may be generated by the decomposition of oleic and linoleic acids. Fatty acids (FA), AcylCarnitine, plasmenylPE, GlcCer_NDS, AcyGlcADG, lysoPC, Cer_BS, and lysoPS were identified as significantly differential lipid subclasses. Among the 30 lipid molecules with variable importance in the projection (VIP) scores higher than two, 6 contained oleic acid (C18:1) and 10 contained linoleic acid (C18:2). Oleic acid and linoleic acid, precursors for the formation of the characteristic flavor substances of pigeon meat, may be generated by the degradation of these 16 lipid molecules.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".