Determination of Aspartame Levels in Soft Drinks Consumed in Ankara, Turkey
Bibliographic record
Abstract
Aspartame is commonly used as artificial sweeteners in several food products. Excess amounts of aspartame can be harmful to human health. Therefore, the investigation of aspartame levels in foods is important. The aim of this study was to determine levels of aspartame in soft drinks and to evaluate whether these amounts were within the Turkish Food Codex values or not. For this purpose, total number of 90 soft drink samples (A, B, C, D, E and F brands) including 15 from each brand were collected from supermarkets in Ankara province, Turkey . In this study, spectrophotometric method was used for the quantitative determination of aspartame in the samples. Mean levels (± S.E) of aspartame in samples of A, B, C, D, E and F brand were found as 156.81±7.29 mg/L, 208.67±8.97 mg/L, 236.58±17.91 mg/L, 299.54±26.19 mg/L, 202.39±8.08 mg/L and 223.28±14.08 mg/L, respectively. Our data revealed that mean levels of aspartame were found within Turkish Food Codex in all samples. However, some samples were not found appropriate according to the label information.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".