ANÁLISE MICROBIOLÓGICA DE POLPAS DE AÇAÍ COMERCIALIZADAS EM UMA CIDADE DO SUL DE MINAS GERAIS
Bibliographic record
Abstract
A polpa de açaí é consumida na forma de sorvetes, cremes e licores, porem, tem causado infecções aos consumidores pela falta de higiene na sua manipulação, o que leva à contaminação por enterobactérias. Investigou-se a contaminação por bactérias em polpas pasteurizadas de açaí, comercializadas em uma cidade do sul de Minas. Foram coletadas 10 amostras (6 embaladas à granel [a] e 4 embaladas individualmente [b]), de diferentes marcas e locais. A metodologia empregada foi a RDC Nº 12, de 2 de janeiro de 2001. As amostras a granel, 1a (10-3), 2a (10-2) e 9a (10-3) apresentaram crescimento significativo no caldo verde brilhante, e contagem excedente a 1 colônia/grama (Proteus spp.). As amostras 1a e 9a cresceram no Caldo Escherichia coli (10-3) com isolamento de Escherichia coli. A contagem padrão em placa de bactérias aeróbias mesófilas revelou que as amostras 8a (2X106) e 10a (30X106) apresentaram crescimento superior a 106. Todas as 10 amostras foram aprovadas para o teste de Salmonella spp. e as 4 amostras de embalagem individual aprovadas no teste para coliformes totais e fecais. Foram reprovadas 5 (83.33%) amostras de embalagem à granel. Concluiu-se que mesmo em polpas pasteurizadas, a contaminação pode acontecer, provavelmente pela manipulação da embalagem.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".