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

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 <i>Hordeum vulgare</i> 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 <i>t</i> 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.

本研究旨在构建新型预测模型，以模拟温室培养条件下，经污泥（sewage sludge, SS）改良的土壤中种植的大麦（Hordeum vulgare）各组织（根、地上部与籽粒）对10种重金属（heavy metals, HMs）——镉（Cd）、钴（Co）、铬（Cr）、铜（Cu）、铁（Fe）、锰（Mn）、钼（Mo）、镍（Ni）、铅（Pb）及锌（Zn）的潜在吸收量。
本研究通过t值验证，大麦三类组织中重金属的实测含量与预测含量之间无显著差异。绝大多数重金属的预测含量均处于可接受范围内，仅地上部中的镉、籽粒中的铜以及根中的铅为例外。
综上，此类模型可用于安全评估经污泥改良的土壤中大麦的种植情况，同时同步监测其对人体健康可能存在的潜在风险。