Concentrations of Saxitoxin and Tetrodotoxin in Three Species of Puffers from the Indian River Lagoon, Florida, the Location for Multiple Cases of Saxitoxin Puffer Poisoning from 2002 to 2004
Bibliographic record
Abstract
Abstract In response to multiple, unexpected cases of saxitoxin poisoning that started in January 2002, southern puffers Sphoeroides nephelus, checkered puffers S. testudineus, and bandtail puffers S. spengleri were collected from April to August 2002 from several locations in the Indian River Lagoon (IRL), Florida. Fish were analyzed for saxitoxin (STX) and tetrodotoxin (TTX) content in muscle, liver, and gonad tissues by means of the liquid chromatography-electrospray ionization-mass spectrometry method in multiple reactions monitoring mode. Spatial, species, and tissue-specific differences in toxin content and composition were found among these puffer species in the IRL. Southern puffers from the northern IRL had the highest concentrations of STX, muscle being the most contaminated tissue (1,770 ± 159 μg/100 g tissue [mean ± SD]; n = 3). Southern puffers from the Banana River and central IRL had lower amounts of STX in all tissues tested. Nearly all southern puffer tissues tested had only trace amounts of TTX. Both checkered and bandtail puffers from the central and southern IRL had higher concentrations of TTX than of STX in all tissues, checkered puffer livers being the most toxic (6,075 ± 3,283 μg/100 g tissue; n = 3). For comparison, U.S. mid-Atlantic northern puffers S. maculatus (n = 10) were tested and found to contain no detectable amounts of STX or TTX. This research confirms that STX and not TTX was responsible for 28 poisoning cases in southern puffers from the northern IRL between 2002 and 2004, and it describes for the first time the relative distribution of STX and TTX in U.S. East Coast puffers.
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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 | 0.002 | 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) | 0.001 | 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".