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基于土壤性质的预测模型,用于评估在添加不同比例污水污泥的农业土壤中生长的 L. 对重金属的吸收。

Prediction models based on soil properties for evaluating the heavy metal uptake into L. grown in agricultural soils amended with different rates of sewage sludge.

机构信息

Department of Biology, College of Science, King Khalid University, Abha, Saudi Arabia.

Department of Botany, Faculty of Science, Kafr El-Sheikh University, Kafr El-Sheikh, Egypt.

出版信息

Int J Environ Health Res. 2022 Jan;32(1):106-120. doi: 10.1080/09603123.2020.1730771. Epub 2020 Feb 21.

DOI:10.1080/09603123.2020.1730771
PMID:32081029
Abstract

The current study aims at forming new prediction models to be employed in the approximating the possible uptake of a range of 10 heavy metals (HMs) (Cd, Co, Cr, Cu, Fe, Mn, Mo, Ni, Pb and Zn) by tissues including roots, shoots and grains following its growth in soil amended with sewage sludge (SS) using conditions employed in greenhouses. The present study determined an insignificant difference between the actual and predicted quantities of the HMs in the three tissues using values. The majority of the predicted quantities of the HMs were acceptable with the exception of Cd in the shoots, Cu in grains and Pb in roots. Consequently, it is possible to use these models in assessing the cultivation of barley plants in soil amended with SS in a safe way, while simultaneously monitoring any potential risks to the health of humans.

摘要

本研究旨在建立新的预测模型,以估算在温室条件下,用污水污泥(SS)改良的土壤中生长的植物各组织(根、茎和谷物)对包括 Cd、Co、Cr、Cu、Fe、Mn、Mo、Ni、Pb 和 Zn 在内的 10 种重金属(HM)的可能吸收量。本研究使用 值确定了实际和预测的三种组织中 HM 数量之间的无显著差异。除了茎中的 Cd、谷物中的 Cu 和根中的 Pb 之外,大多数预测的 HM 数量是可以接受的。因此,这些模型可用于安全评估在 SS 改良的土壤中种植大麦的情况,同时监测对人类健康的任何潜在风险。

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