Beijing Key Laboratory of Aqueous Typical Pollutants Control and Water Quality Safeguard, School of Civil Engineering, Beijing Jiaotong University, Beijing, 100044, China.
Beijing Key Laboratory of Aqueous Typical Pollutants Control and Water Quality Safeguard, School of Civil Engineering, Beijing Jiaotong University, Beijing, 100044, China.
Environ Pollut. 2021 Nov 15;289:117841. doi: 10.1016/j.envpol.2021.117841. Epub 2021 Jul 24.
It is possible for heavy metals in soils to be adsorbed by crop roots and then accumulated in crops, which eventually causes great health risk when the crops are ingested by humans. Thus, it is valuable to understand the enrichment model of heavy metals in crops. Diffusive gradients in thin-films (DGT) technique, as an in-situ passive sampling method, can be used to evaluate the bioavailable heavy metals contents in soils. In this study, data of the bioavailable cadmium (Cd) in soils determined by DGT and Cd contents uptake in rice and maize grains in Tianjin, Zhejiang and Guangxi provinces of China were collected from previous references in Web of Science. By comparing bioconcentration factors, it was found that the heavy metal concentrations accumulated in rice and maize followed a general order roots > stems or leaves > grains. An accurate and robust model for the prediction of Cd content in maize and rice grains was established based on bioconcentration factor (BCF) and the bioavailable Cd content determined by DGT method, with R 0.986 and root mean square error (RMSE) 0.128. This result suggests that the DGT method can be good tool for predicting heavy metals uptake in crops.
土壤中的重金属可能被作物根系吸附,然后在作物中积累,当这些作物被人类摄入时,会对健康造成极大的风险。因此,了解重金属在作物中的富集模式是很有价值的。薄膜扩散梯度(DGT)技术作为一种原位被动采样方法,可用于评估土壤中重金属的生物可利用含量。本研究从 Web of Science 中以前的参考文献中收集了中国天津、浙江和广西地区用 DGT 测定的土壤中有效态镉(Cd)和水稻、玉米籽粒中 Cd 含量的数据。通过比较生物浓缩因子,发现水稻和玉米中积累的重金属浓度遵循一般规律:根>茎或叶>籽粒。基于生物浓缩因子(BCF)和 DGT 方法测定的有效态 Cd 含量,建立了一个准确、稳健的预测玉米和水稻籽粒中 Cd 含量的模型,R 为 0.986,根均方误差(RMSE)为 0.128。结果表明,DGT 方法可以很好地预测作物对重金属的吸收。