Influence Of Kluyveromyces Lactis Arranged In Suspension And Immobilized On Obtaining Lactic Acid By Cheese Whey Fermentation
Bibliographic record
Abstract
Lactic acid has several applications in the pharmaceutical, food, cosmetic and chemical industries, and is currently used for its transformation into polylactic acid, which is a biopolymer used to produce environmentally friendly bioplastics.So, in the present research lactic acid was obtained from the fermentation of cheese whey, that is a waste from the cheese industry that generates high environmental pollution, hence, this research seeks to give it an added value.Thus, the Kluyveromyces lactis strain was isolated from the cheese whey, which was also used for the fermentation process and the obtaining of lactic acid, using proteinized (fresh) and deproteinized cheese whey, the strains arranged in suspension and immobilized in order to determine if those conditions have an influence on the characteristics of lactic acid.It has been confirmed that the arrangement of the strain used (in free or encapsulated form), the use of untreated and deproteinized cheese whey, and the purification conditions have an influence on the characteristics and yields of the lactic acid obtained (color, density, and the presence of other functional groups in it).
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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 | 0.000 | 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 | 0.001 | 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 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".