Preliminary Studies on the Variation in Microbial Succession, Physico-Chemical Characteristics and Antioxidant Capacity during a Spontaneous Fermentation of Mutchayan, a Traditional Fermented Baobab Derived Food
Bibliographic record
Abstract
Mutchayan is a traditionally fermented cooked cereal dough mixed with baobab pulp, consumed in Benin. The study evaluated the physico-chemical and microbiological changes of Mutchayan during 0 to 120 h of spontaneous fermentation. An analysis of the studied fermentation process revealed an increase in titratable acidity and antioxidant capacity (between 0 and 120 h) and a decrease in ascorbic acid content during the first 24 h of the fermentation. Dry matter content and Brix value decreased from 18.7 to 16.7 g/100 g and 7.6 to 5.0 °Brix, respectively, while pH did not change notably. Microbiological analysis revealed the presence of molds at the beginning of the fermentation, which was inhibited after 36 h, while the lactic acid bacteria and yeasts dominated the process.
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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 | 0.000 | 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) | 0.000 | 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".