Presence of radionuclides and toxic elements in feedstuffs and food of animal origin
Bibliographic record
Abstract
Introduction. The aim of this study was to determine the content of radionuclides and toxic elements in samples feedstuffs and food of animal origin collected between 2007- 2017 from two suburban areas of Belgrade, the municipalities of Palilula and Surcin, both areas with intensive agricultural production. Materials and Methods. Radionuclides (40K and 137Cs) and toxic elements (As, Cd, Cu, Ni, Pb and Zn) were determined in samples of corn, hay, meat, milk and eggs, by gamma ray spectrometry and inductively coupled plasma spectrometry (ICP-OES, Spectro Genesis). Results and Conclusions. The obtained results showed that natural 40K was present in all investigated samples. The average activity concentration of 40K was 94 Bq/kg in corn, 117 Bq/kg, 108 Bq/kg and 95 Bq/kg in beef, pork and chicken meat, respectively, as well as 61 Bq/kg in cow?s milk and 48 Bq/kg in eggs. Anthropogenic radionuclide 137Cs was not detected. The trend for toxic element levels according to the average concentrations found in the studied feed samples (corn and hay) was as follows: Zn>Cu>Pb>As>Ni>Cd. Arsenic was detected in animal feed in both Belgrade municipalities, with the average concentration being 1.08 mg/kg (0.5-1.37 mg/kg), and in corn, the As content was higher than in hay samples. In food of animal origin, only Zn and Cu were detected. It is concluded that the presence of radionuclides and toxic elements in feedstuffs and foods of animal origin does not pose a health risk for either humans or animals.
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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 | 0.001 | 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 | 0.000 | 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".