Seasonal monitoring of dissolved and particulate algal biotoxins in the northern Salish Sea using high performance liquid chromatography and tandem mass spectrometry
Bibliographic record
Abstract
Harmful algae are present in the coastal waters of British Columbia, Canada yet little is known about the spatial and temporal distributions of the biotoxins produced by these organisms. We describe a method for profiling dissolved and particulate algal biotoxins in sea water including those associated with amnesic, paralytic, and diarrhetic shellfish poisoning (ASP, PSP and DSP). Surface sea water was filtered and biotoxins recovered from filters and filtrate using solvent extraction and solid phase extraction, respectively. Extracts were analyzed by high-performance liquid chromatography and tandem mass spectrometry using hydrophilic interaction liquid chromatography for ASP and PSP toxins and reversed-phased liquid chromatography for DSP and other lipophilic toxins. The method was applied to samples collected in the northern Salish Sea in April, June and October 2022. Highest total concentrations of domoic acid and saxitoxin were found above a shallow sill in the eastern Juan de Fuca Strait whereas those of dinophysistoxin 1, pectenotoxin 2, yessotoxin, and PSP toxins C1 and C2 were measured near the southern end of Malaspina Strait. These maximum concentrations were observed in June when surface salinity was lowest, temperature highest, and harmful algae most abundant, as reflected in the relative high proportion of particulate biotoxins. In contrast, the high proportion of dissolved biotoxins observed in April when temperature and algal abundance were relatively low suggests that certain biotoxins may persist in surface waters and that the risk of biotoxin exposure does not necessarily correlate with the abundance of harmful algae.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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 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".