Analysis of Potassium Bromate Contents of Commonly Consumed Loaves of Bread Samples in Tokra-Libya
Bibliographic record
Abstract
Bread is one of the most popular foods consumed worldwide. It is a very popular foodstuff consumed in almost every house in Libya as well as in Tokra city as breakfast. Potassium bromate is an oxidizing agent that has been used as bread additive added to preserve the flavour and teste of the bread but continuing to consume it endangers health as a result of its carcinogenic effect, as it remains in the loaf of bread without disintegration, For this reason, Potassium bromate is banned in several countries, including Brazil, Canada, the European Union and the United Kingdom and the FDA has since 1991 merely encouraged bakers to voluntarily stop using it, with somewhat limited success. In this study, levels of residual bromate were determined in 21commercial breads and traditional loaf types from 7 automated bakeries, except for one, a manual bakery randomly were collected from different local bakeries in Tokra city and its environs (Libya), in Feb. 2023. The tested samples of bread were analyzed using two mothed (qualitative and quantitative analyses) a spectrophotometric method of bromate analysis. Bromate concentrations ranged from 0.07-0.29 μgg-1, with an overall mean concentration of 0.14±0.07 μgg-1(ppm). Significant differences were noticed.
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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) | 0.000 | 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".