Screening pyrene metabolites in the hemolymph of dungeness crabs (<i>Cancer magister</i>) with synchronous fluorescence spectrometry: Method development and application
Bibliographic record
Abstract
The present study examined the metabolic pathways of pyrene in dungeness crabs (Cancer magister) in the laboratory and the potential of using synchronous fluorescence spectrometry (SFS) to determine pyrene metabolite concentrations in the hemolymph of crabs exposed to polycyclic aromatic hydrocarbons (PAHs) in the field. Pyrene was metabolized by crabs mainly to 1-hydroxypyrene and pyrene-1-glucoside. Both pyrene metabolites could be detected by SFS in the hemolymph of crabs. A nondestructive hemolymph collection procedure was developed and used in conjunction with the SFS assay to assess the exposure of crabs to PAHs in Kitimat Arm (British Columbia, Canada). Our results showed that crabs obtained near the source of PAH contamination had the highest level of pyrene-related fluorescence in the hemolymph, whereas concentrations were lower at other sites downstream from the pollution source. In a separate study, the hepatopancreases of crabs were analyzed for parent PAHs by using gas chromatography-mass spectrometry. Pyrene-associated fluorescent responses of the hemolymph were found to correlate positively with the concentration of total PAHs in the hepatopancreas (r = 0.39, p < 0.05).
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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 | 0.000 | 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) | 0.000 | 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".