Development of Fermented Beverage Using RSM and Nutrients Evaluation – I. Fermented Ashgourd Beverage
Bibliographic record
Abstract
<p>Ash gourd<strong> </strong>(<em>Benincasa hispida</em>)<strong> </strong>is valued for its nutritive and medicinal properties and further value addition is being attempted by fermentation process. In the present study, the optimization of the fermentation process with reference to yeast concentration and the period has been attempted by using RSM. The statistical design gave 13 formulations, where yeast concentration was from 1 to 5.8% and the fermentation process period varied from 0.5 to 17.5 days. The product varied formulations had total phenols ranged from 24.8 to 43.6mg%, antioxidant 12.3 to 27%, acidity 0.067 to 0.6%, total volatiles 0.0025 to 0.078%, alcohol 4.6-12.4%, overall acceptability 6.9 to 8.4, thiamine 115.7 to 367 ug%, riboflavin 32.4 to 159 ug%, niacin 6.7 to 139.4 ug%, pyridoxine 71.68 to 174.1 ug% and vitamin C from 0.02 to 0.21mg%. Yeast concentration of 3% and fermentation time for 3 days was the optimized process conditions achieved with the best fit of desirability 0.92.</p>
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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 | 0.005 | 0.001 |
| 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".