Bioaccumulation, toxicokinetics, and effects of copper from sediment spiked with aqueous Cu, nano-CuO, or micro-CuO in the deposit-feeding snail, <i>Potamopyrgus antipodarum</i>
Bibliographic record
Abstract
The present study examined the relative importance of copper (aqueous Cu and CuO particles of different sizes) added to sediment to determine the bioaccumulation, toxicokinetics, and effects in the deposit feeder Potamopyrgus antipodarum. In experiment 1, the bioaccumulation of Cu (240 µg Cu/g dry wt of sediment) added as aqueous Cu (CuCl2 ), nano- (6 nm, 100 nm), or micro- (<5 µm) CuO particles in adult snails was measured. In experiment 2, a more comprehensive analysis of the toxicokinetics of Cu (aqueous Cu, 6 nm, or 100 nm) was conducted. In experiment 3, the effects of Cu form (aqueous Cu and 6 nm CuO) on juvenile growth and survival at 0, 30, 60, 120, and 240 µg Cu/g dry weight sediment were assessed. Snails took up less of the 5-µm CuO particles than nano-CuO or aqueous Cu. A substantial fraction of Cu taken up was associated with shell, and this was rapidly lost when snails were transferred to clean sediment. Net uptake rates from sediment amended with 6 nm CuO and aqueous Cu were significantly higher (∼40-50%) than from sediment amended with 100 nm CuO. During 2 wk of depuration, there were no significant differences in depuration rates (kd ) among forms (aqueous Cu: kd = -0.12 wk(-1) ; 6 nm CuO: kd = -0.22 wk(-1) ; 100 nm CuO: kd = -0.2 wk(-1) ). Average juvenile growth was reduced by 0.11 mm (41%) at measured exposure concentrations of 127.2 µg Cu/g dry weight sediment for aqueous Cu and 71.9 µg Cu/g dry weight sediment for 6 nm CuO compared with control; however, differences between forms were not statistically significant. Juvenile snails in the highest exposure concentrations (aqueous Cu and 6-nm CuO groups pooled) reduced their growth by 0.18 mm on average (67%) compared with the control group. Although we observed minor differences in toxicity among Cu forms, effects on juvenile snail growth occurred at bulk sediment concentrations lower than those in the Canadian interim sediment quality guidelines. Characterization of the CuO particles showed that particle size distributions of commercially prepared particles deviated substantially from the manufacturers' specifications and highlighted the importance of fully characterizing particles when using them in toxicity tests.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".