Evaluation of the thermal stability of bioactive compounds in coffee beans and their fractions modified in the roasting process
Bibliographic record
Abstract
Coffee is used as flavor or health-promoting additive in thermally processed food. In this study, ground coffee and freeze-dried coffee extracts were evaluated in terms of their thermal stabilities, and for the first time heat resistance of fractions (mono-, dichlorogenic acids and caffeine) with different roasting levels was evaluated. It observed that the degradation of green coffee bean ingredients began at 150 °C, and for the re-heated light and dark roasted, in the range of 171-188 °C. The lyophilized extracts were more stable and their degradation began around 160 °C. However, with the re-treatment (cooking, baking, frying) of the coffee extract fractions, the degradation of the monochlorogenic acids commenced at 114 °C, while for dichlorogenics at 108 °C and caffeine at 146 °C. Monochlorogenic acids in Robusta coffee showed high antioxidant activity (55-70%) and the highest content of fiber (13-17%). Coffee could be used to fortify food.
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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".