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首页> 外文期刊>Journal of environmental sciences >Evaluation of joint toxicity of heavy metals and herbicide mixtures in soils to earthworms (Eisenia fetida)
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Evaluation of joint toxicity of heavy metals and herbicide mixtures in soils to earthworms (Eisenia fetida)

机译:评价蚯蚓土壤中重金属和除草剂混合物的关节毒性(Eisenia Fetida)

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It is widely acknowledged that a simplified and robust approach to evaluating thecombined effects of chemical mixtures is critical for ecological risk assessment (ERA) of contaminated soil. The earthworm (Eisenia fetida) was used as a model to study the combined effects of polymetallic contamination and the herbicide siduron in field soil using a microcosm experiment. The responses of multiple biomarkers, including the activities of catalase (CAT), superoxide dismutase (SOD), glutathione reductase (GR) and acetylcholine esterase (AChE), the concentrations of glycogen, soluble protein (SP), malonaldehyde (MDA), and metallothionein (MT), and the neutral red uptake test (NRU), were investigated. Multivariate analysis, Principal Component Analysis (PCA) and Spearman's Rank Correlations analysis (BVSTEP) revealed that the activities of AChE and CAT and the NRU content were the prognostic biomarkers capturing the minimum data set of all the variables. Internal Cd (tissue Cd) in earthworms was closely related to the health status of worms under combined contamination of heavy metals and siduron. The integrated effect (E-mix) calculated based on the activities of AChE and CAT and NRU content using the stress index method had significantly linear regression with internal Cd (p<0.01). E-mix(10), E-mix(20), and E-mix(50) were then calculated, at 1.27, 1.63 and 2.71 mg/kg dry weight, respectively. It could be concluded that a bioassay-based approach incorporating multivariate analysis and internal dose was pragmatic and applicable to evaluating combined effects of chemical mixtures in soils under the guidance of the top-down evaluation concept of combined toxicity. (C) 2020 Published by Elsevier B.V. on behalf of The Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences.
机译:众所周知,评估化学混合物的重组效果的简化和稳健的方法对于受污染土壤的生态风险评估(时代)至关重要。蚯蚓(艾西比亚)用作使用微观实验研究多金属污染和除草剂侧呋喃的综合影响的模型。多种生物标志物的反应,包括过氧化氢酶(猫),超氧化物歧化酶(SOD),谷胱甘肽还原酶(GR)和乙酰胆碱酯酶(ACHE),糖原浓度,可溶性蛋白质(SP),恶性蛋白(MDA)和研究了Metallothionein(MT)和中性红色摄取试验(NRU)。多变量分析,主成分分析(PCA)和Spearman的等级相关性分析分析(BVSTEP)揭示了ACHE和CAT和NRU含量的活动是捕获所有变量的最小数据集的预后生物标志物。蚯蚓中的内部CD(组织CD)与蠕虫的健康状况密切相关,重质金属和侧龙的蠕虫。使用应力指数法的基于ACHE和CAT和NRU含量和NRU含量的活性计算的综合效果(E-MIX)具有显着的内部CD线性回归(P <0.01)。然后将E-混合物(10),E-混合物(20)和E-混合物(分别为1.27,1.63和2.71mg / kg干重。可以得出结论,掺入多变量分析和内剂量的基于生物测定的方法是务实的,并且适用于在综合毒性的自上而下评估概念的指导下评估土壤中化学混合物的组合作用。 (c)2020年由elsevier b.v发表的。代表中国科学院生态环境科学研究中心。

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