AVALIAÇÃO FÍSICO-QUÍMICA, MICROBIOLÓGICA E SENSORIAL DE QUEIJO MINAS FRESCAL DE LEITE DE CABRA DESENVOLVIDO POR ACIDIFICAÇÃO DIRETA E FERMENTAÇÃO LÁTICA
Bibliographic record
Abstract
The aim of this study was to evaluate the effect of the direct acidification by lactic acid and indirect, by adding of the mesophilic starter culture type O (Lactococcus lactis subsp. lactis e Lactococcus lactis subsp. cremoris), the physicochemical properties, microbiological and sensory product. Two formulations of Minas Frescal cheese were prepared by acidification with lactic acid and acidification with mesophilic type O culture and evaluated for microbiological quality: the psychrotrophic count, aerobic mesophilic and thermotolerant Coliforms and Salmonella sp. The physicochemical analyzes were performed determination of fat, ash, moisture, acidity in lactic acid and pH. The physical and chemical changes were evaluated in the Minas fresh cheese during the 14-day storage period, and analyzed its acceptability and purchase intent through sensory analysis. The results revealed that the Minas fresh cheese formulations presented in good sanitary conditions and of consumption. The physico-chemical parameters of fat, ash and moisture of the Minas fresh cheeses do not differ significantly (p < 0.05). The cheese obtained by direct acidification by lactic acid showed the lowest values of count total lactic bacteria and acidity in acid lactic, higher pH and greater sensory acceptance and purchase intent differing cheese obtained by lactic fermentation. The results show that the form of acidification affects the product characteristics and consumer acceptability. The use of goat milk for the production of fresh cheese mines shows potential for the dairy industry and adds value to the product and becomes an alternative product to consumers allergic to cow’s milk.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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".