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首页> 外文期刊>Environmental Science and Pollution Research >Study on the influential biochemical indices of Cd(II) on Eisenia fetida in oxidative stress by principal component analysis in the natural soil
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Study on the influential biochemical indices of Cd(II) on Eisenia fetida in oxidative stress by principal component analysis in the natural soil

机译:CD(II)对<重点型=“斜体”>艾瑞尼亚纤维虫在天然土壤中的氧化胁迫下的影响力研究

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摘要

AbstractWith the aggravation of heavy metal pollution in soil, the individual heavy metal content monitoring cannot predict the true effects of harmful substances on the ecosystems. Thus, the effective biological evaluation system should be established to assess the pollution risk caused by heavy metal. Earthworms are widely distributed in the soil, and at the bottom of the food chain, the changes of biochemical indices play an important role in the early warning for heavy metal pollution. Principal component analysis (PCA) is a statistical method that derives several independent principal components from the original variable based on retaining the information as much as possible. This paper is aimed at finding out and analyzing the key monitoring factors related to Cd2+on the earthwormEisenia fetidain oxidative stress. The Cd2+stress concentrations were set at 0, 1, 10, 20, 100, 200, 400, and 800?mg?kg?1, and the post-clitellum segment of earthworm was chosen to determine TP, POD, SOD, GST, GPX, CAT, MDA, VE, and AChE. The results showed that the main bioindicators associated with oxidative stress reaction were GST, POD, and MDA at the exposure time of 10?days; at 20?days GPX, MDA, and AChE; at 30?days CAT, TP, and GPX; CAT, MDA, and SOD at 40th day. These results indicated that PCA can quickly, effectively, directly, and scientifically select biomarkers of oxidative stress induced by Cd and improve the accuracy and scientificity of earthworm as a biomarker in monitoring and early warning for heavy metal-contaminated soil.]]>
机译:<![cdata [ <标题>抽象 ara id =“par1”>在土壤中加重重金属污染的加剧单个重金属含量监测不能预测有害物质对生态系统的真正影响。因此,应建立有效的生物学评估系统,以评估重金属造成的污染风险。蚯蚓在土壤中广泛分布,在食物链的底部,生化指数的变化在重金属污染的预警中发挥着重要作用。主成分分析(PCA)是一种统计方法,它基于尽可能地保留信息,从原始变量导出几个独立的主组件。本文旨在发现和分析与CD <上标> 2 + 在蚯蚓中的关键监测因子<强调型=“斜体”>艾西哥菌在氧化应激中的eisenia fetida 。 CD <上标> 2 + 应力浓度设定为0,1,10,20,100,200,400和800?kg <上标>?1 ,以及后选择蚯蚓的Clitellum段,以确定TP,POD,SOD,GST,GPX,猫,MDA,VE和ACHE。结果表明,氧化应激反应相关的主要生物indicer是GST,POD和MDA在10?天的曝光时间下;在20?天GPX,MDA和ACHE;在30?天猫,TP和GPX;猫,mda和sod在40天。这些结果表明,PCA可以快速,直接和科学地选择CD诱导的氧化应激的生物标志物,并提高蚯蚓的准确性和科学性作为重金属污染土壤监测和预警中的生物标志物。 < /摘要>]]>

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