Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China.
Environ Sci Pollut Res Int. 2015 Jul;22(14):10627-35. doi: 10.1007/s11356-015-4255-7. Epub 2015 Mar 7.
Reliable empirical models describing arsenic (As) transfer in soil-plant systems are needed to estimate the human As burden from dietary intake. A greenhouse experiment was conducted in parallel with a field trial located at three sites through China to develop and validate soil-plant transfer models to predict As concentrations in carrot (Daucus carota L.). Stepwise multiple linear regression relationships were based on soil properties and the pseudo total (aqua regia) or available (0.5 M NaHCO3) soil As fractions. Carrot As contents were best predicted by the pseudo total soil As concentrations in combination with soil pH and Fe oxide, with the percentage of variation explained being up to 70 %. The constructed prediction model was further validated and improved to avoid overprotection using data from the field trial. The final obtained model is of great practical relevance to the prediction of As uptake under field conditions.
为了估计人类通过饮食摄入的砷(As)负担,需要可靠的经验模型来描述土壤-植物系统中的砷转移。本研究在温室实验和田间试验中进行,在位于中国的三个地点平行开展,旨在建立和验证土壤-植物转移模型,以预测胡萝卜(Daucus carota L.)中的砷浓度。基于土壤性质和全砷(王水提取)或有效态砷(0.5 M NaHCO3 提取)分数,采用逐步多元线性回归关系来构建模型。土壤全砷浓度与土壤 pH 值和氧化铁结合,可最好地预测胡萝卜中的砷含量,解释的变异百分比高达 70%。使用田间试验的数据对构建的预测模型进行了进一步验证和改进,以避免过度保护。最终得到的模型对于预测田间条件下的砷吸收具有重要的实际意义。