Changes in Phenol Level and Antioxidant Activity of Cocoa Beans During Fermentation and Roasting
Bibliographic record
Abstract
Flavonoid, polyphenols, especially catechin and epicatechin,are major components in cocoa products, which are known for antioxidant properties. Cocoa bean requires fermentation process in order to obtain good taste. During the fermentation process, polyphenols are oxidized by polyphenol oxidase to form quinone and 2-quinon. The purpose of the research is to determine the total level of polyphenol and antioxidant activity of fermented and roasted cocoa beans. The experiment was using Completely Randomized Design (CRD) with fermentation treatment that includes: Without fermentation, three-day fermentation and five-day fermentation. Observation parameters include: Polyphenol level and antioxidant activity with DPPH method. The results showed that the total phenol level of cocoa bean changed during fermentation and after roasting. The highest phenol level was found in cocoa beans without fermentation, and there is a decrease of phenol level to 98% after fermentation and roasting. The fermentation affects the Inhibition Concentration (IC50) of cocoa beans. An unfermented bean showed a very strongly active antioxidant activity with IC50 of 7.848 ppm, whereas three-day fermentation showed a strong antioxidant activity with IC50 of 35.961 ppm, and five-day fermentation is moderately active with IC50 of 55.976 ppm.
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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 | 0.001 | 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) | 0.000 | 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".