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 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 | 0.002 |
| 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) | 0.000 | 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 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".