Suitability of Postcolumn Oxidation Liquid Chromatography Method AOAC 2011.02 for Monitoring Paralytic Shellfish Toxins in Alaskan Shellfish—Initial Pilot Study versus Mouse Bioassay and In-House Validation
Bibliographic record
Abstract
An in-house study was conducted to confirm the suitability of the postcolumn oxidation (PCOX) LC method, AOAC 2011.02, for regulatory monitoring of paralytic shellfish toxins (PSTs) in Alaskan shellfish. The following parameters were evaluated: calibration linearity, linear range, retention time stability, accuracy, repeatability, LOQ, and comparability with AOAC 959.08, the mouse bioassay (MBA) for PSTs. Mean recoveries for oyster homogenate spiked at 66 microg saxitoxin (STX) diHCI eq./100 g and 5 microg STX diHCI eq./100 g were 95 (n = 8) and 104%, respectively. Repeatability (n = 8) was 1.6 and 7% RSD, respectively. LOQ was estimated at 5 microg STX diHCl eq./100 g with S/N = 6 for STX. Comparability with the MBA was evaluated by duplicate analysis of regulatory samples using the original homogenate for both methods. Forty-one samples with MBA results varying between 40 and 500 microg STX diHCl eq./100 g were compared to corresponding PCOX values. The correlation coefficient (r2) = 0.96, with a slope of 2.1. The slope indicates an average 2X higher total toxicity result for PCOX versus MBA, a result that is consistent with prior literature showing low recoveries using the MBA.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".