Determination of spiramycin and neospiramycin antibiotic residues in raw milk using LC/ESI‐MS/MS and solid‐phase extraction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A simple confirmatory method for the determination of spiramycin and its metabolite neospiramycin in raw milk using LC ESI MS/MS is presented. Macrolide residues in raw milk were extracted by ACN, and sample extracts were further cleaned up and concentrated using SPE cartridges. Both spiramycin and neospiramycin were protonated in electrospray positive ion mode to form singly and/or doubly charged pseudomolecular ions. Data acquisition was achieved using multiple reaction monitoring, i.e., two transitions, for quantification and confirmation. Matrix-matched standard calibration curves were utilized to achieve the best accuracy for the method. The method performance was evaluated according to both a conventional validation procedure and a designed experimental result. The measurement uncertainty arising from accuracy and precision was estimated. The method accuracy, expressed as a percentage of an overall recovery, was from 82.1 to 108.8%, and its intermediate precision was less than 20%. LC/ESI-MS/MS method LODs (S/N greater, not dbl equals 3:1) of spiramycin and neospiramycin were less than 1.0 microg/kg.
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.
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 | 0.001 |
| 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 it