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使用数学模型研究赤子爱胜蚓体内氧化应激指标与镉暴露的相关性。

Correlation of the oxidative stress indices and Cd exposure using a mathematical model in the earthworm, Eisenia fetida.

作者信息

Dongxing Zhou, Yucui Ning, Congmin Jin, Liyan Liu, Xiaoli Pan, Xu Cao

机构信息

College of Resources and Environmental Science, Northeast Agricultural University, Harbin, 150030, China.

College of Resources and Environmental Science, Northeast Agricultural University, Harbin, 150030, China.

出版信息

Chemosphere. 2019 Feb;216:157-167. doi: 10.1016/j.chemosphere.2018.10.117. Epub 2018 Oct 18.

Abstract

With the increase in heavy metal pollution, it is of great significance to evaluate the ecological security and early warning of cadmium (Cd) contaminated soil. In this paper, a mathematical model was established for the first time by combining the advantages of the factor analysis method and the analytic hierarchy process, and was used to screen and analyze the ecological indices of oxidative stress in earthworms under Cd exposure. The experiment lasted for 40 days, removing one earthworm every 10 days. The Cd concentration gradient was set at 0, 1, 10, 20, 100, 200, 400 and 800 mg kg. The ecological indices measured were total protein (TP), peroxidase (POD), superoxide dismutase (SOD), glutathione peroxidase (GPX), glutathione-S-transferase (GST), catalase (CAT), acetylcholinesterase (AChE) and malondialdehyde (MDA) levels. The results showed that when the earthworm was exposed to Cd for 10 days and 30 days, in the head tissues, the key indices to focus on for monitoring were both POD. At 20 days and 40 days, the key indices were both TP. For the tail tissue tests, under Cd exposure for 10 days, the key indicator focused on for monitoring was MDA. After 20 days of exposure, the key monitoring indicator was AChE. At 30 days, it was CAT, and at 40 days, it was TP. This study provides a theoretical basis for the prompt, inexpensive, accurate and scientific early warning of metal contaminated soils and establishes a foundation for application of the screening model for other ecological indicators.

摘要

随着重金属污染的加剧,评估镉(Cd)污染土壤的生态安全性及进行早期预警具有重要意义。本文首次结合因子分析法和层次分析法的优点建立了数学模型,并用于筛选和分析镉暴露下蚯蚓氧化应激的生态指标。实验持续40天,每10天取出一条蚯蚓。镉浓度梯度设置为0、1、10、20、100、200、400和800 mg kg。所测定的生态指标包括总蛋白(TP)、过氧化物酶(POD)、超氧化物歧化酶(SOD)、谷胱甘肽过氧化物酶(GPX)、谷胱甘肽 - S - 转移酶(GST)、过氧化氢酶(CAT)、乙酰胆碱酯酶(AChE)和丙二醛(MDA)水平。结果表明,蚯蚓在镉暴露10天和30天时,头部组织中用于监测的关键指标均为POD。在20天和40天时,关键指标均为TP。对于尾部组织测试,在镉暴露10天时,用于监测的关键指标为MDA。暴露20天后,关键监测指标为AChE。30天时为CAT,40天时为TP。本研究为金属污染土壤的快速、低成本、准确且科学的早期预警提供了理论依据,并为其他生态指标筛选模型的应用奠定了基础。

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