Suppr超能文献

利用新热带蛤(Anomalocardia flexuosa)的金属生物累积来评估河口沉积物的质量。

Metal Bioaccumulation by the Neotropical Clam Anomalocardia flexuosa to Estimate the Quality of Estuarine Sediments.

机构信息

Instituto Oceanográfico, Universidade de São Paulo (USP), Praça do Oceanográfico, 191, Butantã, São Paulo, SP, CEP 05508-120, Brazil.

NEPEA, Campus do Litoral Paulista, Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Praça Infante Dom Henrique, s/n, Parque Bitaru, São Vicente, SP, CEP 11330-900, Brazil.

出版信息

Bull Environ Contam Toxicol. 2021 Jul;107(1):106-113. doi: 10.1007/s00128-020-03062-x. Epub 2021 Jan 4.

Abstract

This investigation evaluated the bioaccumulation potential of the tropical estuarine bivalve Anomalocardia flexuosa for trace metals. To this aim, chemical and sedimentological analyses and bioaccumulation tests were performed. The sediments were mainly composed by fine-sands and mud, with variable levels of organic matter and CaCO. Muddy sediments from a depositional site (P2) presented the highest concentrations of metals, despite SEM/AVS not indicating bioavailability. Bioaccumulation factors showed high ratios for Cd, Ni, and Zn, while associations between the contents of mud, organic matter, CaCO and metals in sediments and tissues of A. flexuosa were indicated by a principal component analysis. The SEM/AVS was not effective to predict the bioavailability through dissolved metals. The results showed that contaminants were bioavailable, while the performed bioaccumulation test proved to be a reliable technique for assessing sediment contamination in estuarine regions. Moreover, A. flexuosa was considered an adequate test organism for bioaccumulation studies.

摘要

本研究评估了热带河口双壳类动物弯扭异心蛤对痕量金属的生物累积潜力。为此,进行了化学和沉积学分析以及生物累积试验。沉积物主要由细砂和泥组成,有机质和 CaCO3 的含量不同。尽管 SEM/AVS 并未表明其生物可利用性,但来自沉积区(P2)的泥泞沉积物中金属浓度最高。生物累积因子(BAF)对 Cd、Ni 和 Zn 的比值较高,而主成分分析(PCA)表明沉积物和弯扭异心蛤组织中泥、有机质、CaCO3 和金属的含量之间存在相关性。SEM/AVS 并不能有效地通过溶解金属来预测生物可利用性。结果表明,污染物是生物可利用的,而进行的生物累积试验被证明是评估河口地区沉积物污染的可靠技术。此外,弯扭异心蛤被认为是生物累积研究的合适试验生物。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验