Bioaccumulation And Influence Of Cadmium Chloride On Histology Of Muscles And Gills In Nile Tilapia (Oreochromis Niloticus)
Bibliographic record
Abstract
Heavy metals Show a heterogeneous pattern of accumulation in different organs. Cadmium is an essential inorganictoxicant widely distributed in the environment. The current study evaluates the histopathological changes in Nile tilapia (Oreochromis niloticus) treated with different concentration of cadmium chloride. Fish was stocked in triplicate (control group, T1, T2). The two groups T1 and T2 are exposed to sub-lethal doses 1/5th(2.96mg/L) and 1/10th(1.48mg/L) of LC50(14.8mg/L) of CdCl2 for 21 days. Fish was dissected, gills and muscle tissues were removed. Histological examination of gills specimen revealed that CdCl2 exposure substantially damages histopathological profile as evident from primary lamellae dilation, secondary lamellae splitting, detached sub lamellae, and inter lamellar cells hyperplasia. It leads to mild edema, acute inflammation, and blood vessels congestion was observed in CdC12 induced group as compared to control group. However, no necrosis and hemorrhage of gills tissues were seen. The histopathology of treated fish muscle was revealed distorted muscle orientation and hypotrophy of muscle volume with splitting muscle fibers. Additionally, edema, necrosis, focal muscles, inflammation, muscle deposition, and muscle degeneration observed in the CdCl2 intoxicated group as compared to control group. It is concluded that exposure with high concentration of CdCl2 causes histopathological alterations in Oreochromis niloticus.
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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".