Bibliographic record
Abstract
Abstract An LC/MS/MS method has been optimized and validated for the quantification and confirmation of fumagillin in honey. Fumagillin is isolated and concentrated by RP polymeric SPE. Final extracts are analyzed using electrospray ionization LC/MS/MS in positive mode with a formic acid and ammonium formate–acetonitrile mobile phase. Method uncertainty was determined using two analytical systems from different manufacturers. The validation of this LC/MS/MS method for the detection of fumagillin demonstrated overall recovery of 99.3%, precision of 5.9%, expanded uncertainty of 13.2%, and LOD of 0.368 μg/kg using an Agilent 6410 triple quadrupole system. Robustness testing showed that the method is robust against small changes in the method parameters. The method has been successfully applied to test 30 honey samples received as part of the Canadian Food Inspection Agency inspection program for the presence of fumagillin. It also was externally evaluated through proficiency testing and found to be fit-for-purpose.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.007 | 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".