Kinetics of tocopherol degradation during the storage of wheat germ oil
Bibliographic record
Abstract
Abstract Tocopherol degradation in wheat germ oil was studied during storage at different temperatures. Two types of wheat germ were used: heat‐treated germ (HT) and raw germ (RG). The oil was extracted (Soxhlet, n‐hexane) and stored at 25 and 47 °C (82 days) and at ‐20 and 5 °C (600 days). Tocopherols were determined by HPLC. Total tocopherol, α‐tocopherol, and β‐tocopherol decreased following first‐order kinetics. At 25 and 47 °C, the values of the degradation rate constants for total tocopherol were 5.00 × 10−3 days−1 (RG), 3.00 × 10−3 days−1 (HT), and 5.37 ×10−2 days−1 (RG), 2.57 × 10−2 days−1 (HT), respectively, indicating an increase in tocopherol degradation rate with increasing temperature. The reaction rates of total tocopherol were similarly affected at 5 and −20 °C, with lower rate constants (4 × 10−4 and 2 × 10−4 days−1, respectively). α‐tocopherol degraded faster than β‐tocopherol, presenting higher rate constants. Low temperatures favour the preservation of tocopherols.
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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 | 0.000 | 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) | 0.001 | 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".