Sustainability of the Cocoa Industry: Cocoa Waste Mucilage Use to Produce Fermented Beverages. Case Study in Los Ríos Province
Bibliographic record
Abstract
Los Ríos province is eminently agricultural since the main activity of its population is the product cultivation such as cocoa, coffee, soy, passion fruit and others. Two cacao varieties are cultivated: the Nacional (delicate aroma) and the CCN51. The increase in cocoa production in the Los Ríos province has generated a large amount of waste (mucilage). Much of the cocoa mucilage is eliminated in the drainage systems, discarding a product with a high content of sugars and beneficial yeasts for fermentation processes. Due to this, the work aims to analyse the use of cocoa mucilage CCN-51 or Nacional in the production of fermented beverages that allow obtaining an added value of the surpluses of cocoa production. The methodology consisted first of the approach of design combinations (with eight experimental units and three repetitions) for fermented beverage elaboration. Then, these combinations were analysed with physicochemical parameters (pH, °Brix, °GL, transmittance, absorbance, and suspended solids) and with organoleptic analyses (product tasting). As a result, the fermented carambola beverage showed better physicochemical characteristics. Of the eight experimental units, number 8 (carambola + mucilage concentration 15% + national variety) presented better results; with transmittance values of 38.40%, suspended solids 0.0061%, density 0.978 kg/m3, alcoholic degrees 16.67 °GL, acidity 0.48 g/L and pH 3.66. Also, the organoleptic results obtained an excellent acceptance thanks to the good colour, smell, taste, sweetness, and low astringency. This allowed having another alternative/solution for discarded mucilage use in Los Rios province.
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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".