Fungal mycoflora and contamination of maize from Vietnam with aflatoxin B1 and fumonisin B1
Bibliographic record
Abstract
Twenty five samples of maize intended for human or animal consumption coming from North, Central and South Vietnam were analysed for fungal contamination and for the presence of aflatoxin B1 and fumonisin B1. The total fungal load was found to be greater in maize intended for animal feed than for human consumption with average levels of 4x106 and 7x105 CFU/g, respectively. Identification of fungal strains revealed that Aspergillus was the most frequent genus, found in all maize samples whatever their intended use or their geographic origin. Among the Aspergillus species, A. flavus was the most frequent contaminant, observed in more than 90% of the samples. Other fungal strains found in the Vietnamese maize samples belonged to Penicillium species, Fusarium verticillioides and to the Mucorales, and were found in up to 53, 33 and 23% of the samples, respectively. All samples were tested for both aflatoxin and fumonisin contamination. Aflatoxin B1 was found in 17 samples (68%). Five of these samples showed aflatoxin B1 levels below 10 µg/kg, ten samples were found to be contaminated in a range of 11.3 to 47.2 µg/kg, and 2 samples showed contamination levels of 98.4 and 126.5 µg/kg, respectively. The maize samples for human consumption were found frequently contaminated with aflatoxin B1 (77%), but the level of contamination was lower than those for animal consumption. Fumonisin B1 contamination was found in 8 out of 25 samples (32%). Detected amounts of fumonisin B1 ranged from 0.4 to 3.3 mg/kg.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".