Determination of lipophilic marine biotoxins in aquatic products by liquid chromatography coupled with triple quadrupole mass spectrometry
Bibliographic record
Abstract
Lipophilic marine biotoxins include Azaspiracid-1 (AZA-1), Azaspiracid-2 (AZA-2), Azaspiracid-3 (AZA-3), Pectenotoxin-2 (PTX 2), Okadaic acid (OA), Dinophysistoxin-2 (DTX-2), Dinophysistoxin-1 (DTX-1), Yessotoxin (YTX), and 1-Homoyessotoxin (Homo-YTX) were extracted with methanol, followed by cleaning up with solid phase extraction technique (SPE). Lipophilic toxins were confirmed and quantified by liquid chromatography coupled with triple quadrupole mass spectrometry (LC/MS/MS) using calibration curves on the solvent. The quantification limits of this method satisfied the requirements of the European Maximum Residue Limit (MRLs) with 25 µg/kg for the YTX group and 10 µg/kg for AZA, OA, and PTX groups. To validate the effectiveness of this method, matrices of clams, fish, and mixed seafood were collected and analyzed (recovery ranged from 92.4 - 101.5%, and relative standard deviation was less than 20%). The method was used successfully to participate in a proficiency testing program organized by Quasimeme (z-score in the range of ±2)
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".