Ammonia-containing Industrial Effluents, Lethal to Rainbow Trout, Induce Vacuolisation and Neutral Red Uptake in the Rainbow Trout Gill Cell Line, RTgill-W1
Bibliographic record
Abstract
Nine samples of whole effluent from the operation of an industrial plant over the course of one year, were tested on rainbow trout for lethality and on the rainbow trout gill cell line, RTgill-W1, for metabolic activity, plasma membrane integrity, and lysosomal activity, as measured by using the alamar Blue (AB), 5-carboxyfluorescein diacetate acetoxymethyl (CFDA-AM), and neutral red (NR) assays, respectively. None of the nine samples caused a loss of plasma membrane integrity, and only two caused a transitory decline in metabolism. Three samples caused massive vacuolisation in RTgill-W1 cells, which was accompanied by increased uptake of NR, and only these three samples were lethal to the rainbow trout. The addition of ammonia to RTgill-W1 cultures also induced vacuolisation and NR uptake, with little change in plasma membrane integrity or metabolism. Subsequently, the effluent source was identified as a nitrogen product producer, and variable levels of ammonia were found in the nine samples. Three of the four samples with the highest non-ionised ammonia levels were those which were toxic to rainbow trout and which caused vacuoles in RTgill-W1 cells. The close correlation between rainbow trout-killing and RTgill-W1 vacuolisation by the effluents, suggests that vacuolisation of RTgill-W1 cells could be used to indicate effluents which would be toxic to rainbow trout as a result of their ammonia content.
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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".