Evaluation of Ethanol Production Process by the Fermentation of Blue Cabuya Juice (<i>Agave americana</i>), Using Yeast Strains (<i>Saccharomyces cerevisiae</i>) as Potential Application for Blue Agave Liquor
Bibliographic record
Abstract
The blue cabuya (Agave americana L.) grows wild on large tracts of land in various regions of Peru. The research is aimed at taking advantage of this renewable plant biomass as a potential substrate in one of its possible applications such as cabuya azul liquor, for which, firstly, the yields of the anaerobic fermentation process of this biomass at temperatures of 26, 28 and 30 C and a pH of 3.5 and 4.0, in a batch bioreactor of 120 liters and nutrient concentrations of diammonium phosphate (DAP) of 1 and 2 g/L and a substrate with reducing sugars (AR) of 60 g/L from the district of La Merced, province of Churcampa, Huancavelica Region. The experimental tests were carried out in the laboratories of the Faculties of Biological Sciences and Chemistry and Chemical Engineering of the Universidad Nacional Mayor de San Marcos. Using Saccharomyces cerevisiae yeast strains (D 47, LALVIN-Canada) at 28 C, pH 3.5 and DAP nutrient concentration of 2 g/L during 26 h of fermentation, was obtained total biomass yields Y(x/s) =. 0.1606 and ethanol Y(p/s) = 0.4739. It is concluded that the production of ethanol for use in its industrialization as blue cabuya liquor is viable and for the transfer of technology environmental aspects and economic studies must be integrated.
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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 | 0.001 | 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".