Department of Environmental Science, University of Calcutta, India.
Department of Life Science, NIT Rourkela, India.
Mar Pollut Bull. 2021 Dec;173(Pt A):113017. doi: 10.1016/j.marpolbul.2021.113017. Epub 2021 Oct 13.
The study represents in vitro chemometric approach for assessing the heavy metal pollution in Indian Sundarbans. Physio-chemical and elemental characterisation of the sediment samples of Indian Sundarbans had shown high enrichments of toxic metal ions. It was characterised by elevated enrichment factors (2.16-10.12), geo-accumulation indices (0.03 -1.21), contamination factors (0.7-3.43) and pollution load indices (1.0-1.25) which showed progressive sediment quality deterioration and ecotoxicological risk due to metal ions contamination. The physio-chemical parameters of the sediments were replicated and computational chemometric modeling was utilized to assess fungal metabolic growth. All the fungi isolates had shown maximum metabolic activity in high temperature, alkaline pH, and high salinity. Further, the fungal metabolic activity was assessed in different gradient of heavy metal concentration. The significant deterioration of biochemical marker with increasing concentration of heavy metal indicates the status of the microbial health due to toxic metal pollution in the mangrove habitat.
本研究采用体外化学计量学方法评估了印度孙德尔本斯的重金属污染。印度孙德尔本斯的沉积物样本的理化和元素特征表明，有毒金属离子高度富集。其特征是富集因子（2.16-10.12）、地积累指数（0.03-1.21）、污染因子（0.7-3.43）和污染负荷指数（1.0-1.25）升高，这表明由于金属离子污染，沉积物质量逐渐恶化和具有生态毒性风险。沉积物的理化参数进行了复制，并利用计算化学计量学模型来评估真菌的代谢生长。所有真菌分离株在高温、碱性 pH 值和高盐度下均表现出最大的代谢活性。此外，还在不同重金属浓度梯度下评估了真菌的代谢活性。随着重金属浓度的增加，生化标志物的显著恶化表明由于红树林栖息地的有毒金属污染，微生物健康状况不佳。
