Qvarforth A, Svensson P A, Lundgren M, Rodushkin I, Engström E, Paulukat C, Hough R L, Moreno-Jiménez E, Beesley L, Trakal L, Augustsson A
Department of Biology and Environmental Science, Linnaeus University, Kalmar, Sweden.
Department of Biology and Environmental Science, Linnaeus University, Kalmar, Sweden.
Chemosphere. 2025 Feb;371:144073. doi: 10.1016/j.chemosphere.2025.144073. Epub 2025 Jan 10.
While vegetable uptake of traditional metal contaminants is a well-studied pathway to human exposure and risk, a paucity of information exists on the uptake of emerging metal contaminants. This study evaluated the uptake of the Technology-critical elements (TCEs) gallium (Ga), germanium (Ge), niobium (Nb), tantalum (Ta), thallium (Tl), and rare earth elements (REEs) into lettuce cultivated in 21 European urban soils. For comparison, the uptake of cadmium (Cd) was also analysed. First, the uptake was predicted by multiplying soil concentrations with previously established bioconcentration factors (BCFs). Subsequently, multiple regression models incorporating geochemical variables as predictors were used to determine whether prediction accuracy could be improved. A "3-predictor model" incorporated soil TCE concentration, pH, and organic matter (OM), and a "7-predictor model" added data on clay content and the soil concentrations of Fe, Al, and Mn as well. With the exception of Cd, Ge, and Tl, the BCF approach provided unsatisfactory predictions (R < 0.5), while the 7-predictor models yielded the best predictions, even when accounting for the greater number of predictors. While the most important predictors of uptake varied somewhat between the TCEs, the concentrations of TCEs in the soil generally explained the largest proportion of the variation. The least influential predictors in our dataset were [Mn], [Fe], and soil OM. Incorporating geochemical data generally improved the predictions of uptake by lettuce, and these findings underscore the need for more detailed characterisations of the uptake potential of TCEs by food plants and subsequent consequences for human health.
虽然蔬菜对传统金属污染物的吸收是一条已被充分研究的人类暴露和风险途径,但关于新兴金属污染物吸收的信息却很少。本研究评估了技术关键元素(TCEs)镓(Ga)、锗(Ge)、铌(Nb)、钽(Ta)、铊(Tl)和稀土元素(REEs)在21种欧洲城市土壤中种植的生菜中的吸收情况。为作比较,还分析了镉(Cd)的吸收情况。首先,通过将土壤浓度与先前确定的生物富集因子(BCFs)相乘来预测吸收量。随后,使用将地球化学变量作为预测因子的多元回归模型来确定预测准确性是否可以提高。一个“三预测因子模型”纳入了土壤TCE浓度、pH值和有机质(OM),一个“七预测因子模型”还添加了粘土含量以及土壤中Fe、Al和Mn浓度的数据。除了Cd、Ge和Tl外,BCF方法提供的预测结果不尽人意(R < 0.5),而七预测因子模型产生了最佳预测结果,即使考虑到更多的预测因子。虽然不同TCEs吸收的最重要预测因子略有不同,但土壤中TCEs的浓度通常解释了最大比例的变化。我们数据集中影响最小的预测因子是[Mn]、[Fe]和土壤OM。纳入地球化学数据通常会改善生菜吸收量的预测,这些发现强调了需要更详细地表征食用植物对TCEs的吸收潜力及其对人类健康的后续影响。