Aflatoxins in Tapioca Gum Marketed in Manaus-AM-Brazil
Bibliographic record
Abstract
Introduction: Among the culturally consumed foods in the North and Northeast of Brazil, tapioca gum, derived from cassava, has good popular acceptance, and is used in different culinary preparations. Objective: To assess the presence of aflatoxins in samples of tapioca gum from Manaus. Method: 24 samples of tapioca gum (n=24) were collected from retailers and fairs in the city of Manaus, for the quantification of AFL by means of high-performance liquid chromatography (HPLC), water activity (Aw) and moisture content (mc%). Results: in seven samples, aflatoxin G1 (AFLG1) was detected, representing 29.17% of contamination. The average of Aw was equal to 0.9952 and the mc% was 41.615%. Conclusion: this work presents, in an unprecedented way, the presence of AFLG1 in tapioca gum. The mc% correlated with the presence of AFLG1, while Aw had no effect on AFL. It is not possible to determine the risk of the presence of AFLG1 for human consumption due to the lack of legislation for the product, but the results reflect the manufacturing, storage, and transport practices of local businesses, demonstrating the need for intervention.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".