# Assessment of Heavy Metal Contamination, Bioaccumulation, and Nutritional Quality in Fish from the Babina–Cernovca Romanian Sector of the Danube River

## TL;DR

This study assesses heavy metal contamination and nutritional quality in fish from the Danube River, focusing on bioaccumulation patterns and environmental influences.

## Contribution

The study integrates heavy metal content with nutritional parameters using multivariate analysis to assess fish vulnerability in the Danube River.

## Key findings

- S. erythrophthalmus, C. gibelio, and A. alburnus show the highest metal bioaccumulation capacity.
- PCA and clustering analysis reveal species-specific and environmental influences on metal accumulation.
- Bivariate and multivariate analyses link nutritional parameters with heavy metal exposure in fish.

## Abstract

Danube Delta (DD), an ecologically vulnerable site, together with fish populations, which are significant food resources, are largely exposed to heavy metal contamination. This study was developed in the Babina–Cernovca sector of DD in September 2023. Zinc (Zn), and iron (Fe) were identified in water, while copper (Cu), iron (Fe), and manganese (Mn) were in sediments (mud). Proximate composition of the muscle tissues of eight fish species identified in the area was assessed. The muscle was also tested to identify heavy metals contamination. The contamination degree was assessed using bioaccumulation and bioconcentrations factors. The relation between nutritional parameters and metals was tested using bivariate and multivariate analyses. Samples were analyzed by specific laboratory tests, and data were processed using ANOVA, Spearman correlation, Principal Component Analysis (PCA), and hierarchical clustering. S. erythrophthalmus, C. gibelio, and A. alburnus have the highest metal bioaccumulation capacity, exhibiting species-specific accumulation patterns. PCA and clustering analysis reflect the influence of species and environmental factors on heavy metal accumulation in fish tissue. The study integrates the heavy metals content with nutritional parameters in fish muscular tissue, using bivariate and multivariate analysis for assessing fish vulnerability to heavy metals exposure in the Danube River.