Domoic acid analysis in bivalve molluscs. Seafoodplus traceability
Bibliographic record
Abstract
Domoic acid (DA) was identified as the toxin responsible for an outbreak of illness in Canada in 1987, caused by eating blue mussels that had accumulated DA as a result of the presence of Pseudo-nitzschia pungens. It is named amnesic shellfish poisoning (ASP). Since a regulatory level of 20 mg DA/kg of shellfish meat was established. The methods of determination of domoic acid are reviewed: biological assays in vivo and in vitro, biochemical and chemical assays. The AOAC mouse bioassay, which is used for PSP, cannot detect domoic acid at the regulatory level of 20 mg/kg tissue and no interlaboratory validation of this method for domoic acid has been carried out. The Quillian method, a liquid chromatography-UV detection method is approved as European Norm by CEN and recommended by Codex Alimentarius as reference method. The European Commission Regulation stipulate that the reference method shall be the HPLC method and the Community Reference Laboratory on Marine Biotoxins (CRLMB) recommends Quillian method as routine method. Others protocols such as receptor binding assay, immunoassays and thin layer chromatography can be used as alternative for routine monitoring. The liquid chromatography-mass spectrometry method allows to confirm the presence of domoic acid isomers.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.001 | 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 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".