Análisis estadístico en la producción de proteína unicelular a partir de la fermentación del suero ácido de quesería
Bibliographic record
Abstract
La investigación tuvo como objetivo determinar el rendimiento máximo de proteína unicelular en función de tres tipos de suero de leche: suero a base de queso mozzarella, queso fresco y requesón, tras un proceso de fermentación que utilizó levaduras del género Kluyveromyces Marxianus en conjunto con la nutrición de minerales como sulfato de amonio, sulfato monopotásico y magnesio. El proceso de fermentación para la obtención de biomasa se mantiene a una temperatura de 39°C y luego de 72 horas se logra maximizar el porcentaje de proteína unicelular en las muestras analizadas. Los resultados arrojados por el método de Kjeldahl muestran la presencia de 6,95; 6,45 y 10,4% (N*6.38) de proteína en los sueros de queso mozzarella, requesón y fresco respectivamente, el suero de queso fresco es seleccionado como el mejor tratamiento para la obtención de este nutriente que permite a la industria alimentaria, cosmética y farmacéutica incorporarla en nuevos productos funcionales que beneficien a la salud de quienes la consumen.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".