Mist alert™: a rapid assay for saralytic Shellfish poisoning toxins
Bibliographic record
Abstract
Jellett Biotek Ltd. has developed a rapid fïeld test kit to screen for paralytic shellfish poisoning (PSP) toxins. The new test, called MIST AlertTM, provides a qualitative (positive/negative) indication of the presence of PSP toxins in less than 20 min. It is designed as a screening method for regulatory labs to eliminate negative samples, thereby leaving a smaller number of positive samples to be tested with more sophisticated and time-consuming quantitative methods. Due to its simplicity and speed, MIST AlertTM cari also be used in other applications such as shellfish harvest management and toxin research. The test is based on easy-to-use lateral flow immuno-chromatographic (LFI) test strips. The sensitivity of the test to several analogues of saxitoxin (STX) and neosaxitoxin (NEO) was investigated. The toxin analogues STX, GTX2/3 and Cl/2 epimeric mixtures, Bl and decarbamoyl saxitoxin (dc-STX) were detectable at concentrations of approximately 200 nM. The test was somewhat less sensitive to the NI-hydroxy derivatives NE0 and GTX1/4, requiring concentrations of 400 and 600 nM, respectively, to give a substantially positive test. Al1 toxins were detectable within or close to the regulatory limit of 80 pg saxitoxin dihydrochloride equivalents per 100 g of tissue (= 1075 nM STX) using the AOAC extraction procedure.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.006 |
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".