Arsenic accumulation and speciation in freshwater fish living in arsenic-contaminated waters
Bibliographic record
Abstract
Environmental context. Inorganic arsenic, a well-known human carcinogen, represents a major worldwide environmental problem because contaminated water supplies have lead to widespread human exposure. This study investigates the arsenic content of freshwater fish from arsenic-contaminated and non-contaminated sites in Thailand, and reports high arsenic concentrations and significant amounts of inorganic arsenic in the edible muscle tissue. The data suggest that freshwater fish may represent a significant source of inorganic arsenic to some human populations. Abstract. Striped snakehead (Channa striata), carnivorous freshwater fish that serve as popular food in Thailand, were collected from a reference site (1.4 µg As L–1) and from two arsenic-contaminated ponds (Pond A, 550 µg As L–1; Pond B, 990 µg As L–1) in southern Thailand and analysed for arsenic by inductively coupled plasma mass spectrometry (ICPMS) and for arsenic species by HPLC-ICPMS performed on aqueous methanol extracts of muscle, liver and gill (n = 3 fish from each site). Mean total arsenic concentration in muscle tissue of C. striata collected from the reference site was 1.9 µg As g–1 (dry mass) while fish from the contaminated sites contained 13.1 µg As g–1 (Pond A) and 22.2 µg As g–1 (Pond B). Liver and gill tissues showed similar increasing arsenic concentrations on going from the reference site to Ponds A and B, with Pond B showing the highest levels. Speciation analysis on the three tissues showed that, although arsenate was the major extractable arsenical in reference fish (e.g. 0.73 µg As g–1 in muscle tissue), dimethylarsinate was by far the dominant arsenic species in fish from the two contaminated sites. Three non-carnivorous fish species (Danio regina, Rasbora heteromorpha and Puntius orphoides), collected from Pond B only, had lower arsenic concentrations (7.9–11.3 µg As g–1 in muscle tissue) than did C. striata, and contained appreciable amounts of trimethylarsine oxide together with two other major arsenicals, arsenate and dimethylarsinate, and smaller quantities of arsenite and methylarsonate. The study shows for the first time a clear effect of water arsenic concentrations on natural fish tissue arsenic concentrations, and is the first report of a freshwater fish species attaining arsenic concentrations comparable with those found in marine fish species. Furthermore, the high concentrations of toxic inorganic arsenic (predominantly arsenate) in the muscle tissue of the edible fish C. striata have human health implications and warrant wider investigations.
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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) | 0.001 | 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".