Assessment of the Sanitary Quality of Fruit Juices Sold in Some Public Schools in the Agblangandan District in the Southern Part of Benin
Bibliographic record
Abstract
Fruit juices are one of the favorite drinks for children these days. As a result, its production must be organized in such a way as to ensure quality and guarantee the safety of consumers in general and schoolchildren in particular. The objective of this study is to analyze the health quality of bissap, lemon and pineapple juices sold in some public schools in the district of Agblangandan. For this, we collected from the vendors, 12 pineapple juice, 14 bissap juice and 8 lemon juice during the morning recess. Then, the microbiological and physico-chemical analyzes were carried out on the juices. The microbiological analyzes made it possible to identify the presence of total mesophilic flora (1.09.104 CFU/ml), total Coliforms (2.78.103 CFU/ml), Escherichia coli (4.44.102 CFU/ml), Enterococci (86.1 CFU/ml) and Clostridium (13.2 CFU/ml) in bissap juices. These same germs have been identified in lemon and pineapple juices with varying loads. As for the physico-chemical parameters, the results revealed a high rate of turbidity, conductivity, temperature and pH of the juices. Factors such as failure to master hygiene rules when bagging juices, non-compliance with hygiene rules during handling and storage and then inappropriate hygiene practices are origin of the contamination of these juices. It is therefore urgent to prioritize the hygiene and health of school children through awareness-raising, education and regular and rigorous health control of the juices sold by sworn agents.
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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 | 0.002 | 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 | 0.001 | 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".