Syringe‐Tip Filters May Contain the Artificial Sweetener Saccharin
Bibliographic record
Abstract
Abstract The presence of artificial sweeteners in environmental samples is increasingly used to detect wastewater (and recently landfill leachate) in rivers, lakes and groundwater. Through routine laboratory quality assurance/quality control procedures, it was discovered that some syringe‐tip filters leach saccharin when used to process water samples. We subsequently tested several brands of filters to determine if they leached any of the four common artificial sweeteners analyzed in environmental samples, acesulfame, saccharin, cyclamate, and sucralose. Of the six types of filters tested, only one brand was a source of artificial sweeteners and the only artificial sweetener found was saccharin. The source of the saccharin in the filters is unknown but it is likely the result of some step in the manufacturing process. The saccharin was typically removed from these filters using a distilled water rinse of 13 mL or less. As a precaution, filters should be pre‐tested for the presence of saccharin and/or filters should be flushed with distilled water or sample prior to the collection of water samples for artificial sweetener analyses.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".