[Levels of polychlorinated dibenzo-p-dioxins and dibenzo-furans in sea fish samples in some sea areas in China].
Bibliographic record
Abstract
OBJECTIVE: To analyse the levels of polychlorinated dibenzo-p-dioxins and dibenzo-furans (PCDD/Fs) in sea fish samples in some sea area in China surveyed by using isotope dilution HRGC/HRMS and was evaluated the local people with PCDD/Fs exposure from eating fish. METHODS: Seven different kinds of fish and twenty fishes were sampled totally. Dibenzo-p-dioxins and dibenzo-furans were extracted from fish samples by Soxhlet extraction, concentrated and purified by FMS column chromatograph and enriched by carbon column. Confirmation and quantitative analysis at ng/kg level of PCDD/Fs was performed by HRGC/HRMS using multiple ion detection mode (MID). RESULTS: Carp-2 was the certified reference material obtained from the NRC Institute of Canada. The concentration of 9 compounds was consistent with the certified value, and precision was evaluated in this study. The relative standard deviation was less than 15 percent for three times determination. The average concentration of 20 sea fishes was 1.48 ng/kg wet weight, the range was in 0.21-8.10 ng/kg wet weight, and the average total toxicity equivalency factor (TEQ) was 0.292 ng TEQ/kg (wet weight basis) and the range was 0.030-1.291 ng TEQ/kg for these 20 fishes. The evaluation exposure from fish for local people was 0.58 pg WHO-TEQ/kg BW.day. CONCLUSION: The levels of PCDD/Fs was different from sample to sample, and the exposure from fish be less than WHO tolerance limit standard, however, the status for PCDD/Fs pollution should not be ignored especially when having an intake of multi-food.
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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 | 0.000 | 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) | 0.001 | 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".