基于梯度扩散薄膜(DGT)技术评估玉米农田土壤中铅的生物有效性及动力学过程OA北大核心CSTPCD
Evaluation of lead bioavailability and kinetic process in maize farmland soils based on diffusive gradients in thin-films(DGT)technique
为验证梯度扩散薄膜(DGT)技术在准确评估自然环境下玉米农田土壤中铅(Pb)的生物有效性的可行性,并基于该技术探究土壤中Pb的动力学过程,本研究使用DGT技术、土壤溶液法和单独提取法测定了湖南省凤凰县内种植玉米的农田土壤中Pb的可提取态含量,并与玉米不同部位中Pb的含量进行了线性拟合分析;利用DGT技术结合DGT诱导土壤/沉积物通量(DIFS)模型模拟了土壤内部Pb的动力学过程.结果表明:35%的土壤点位中Pb的含量超过湖南省Pb背景值,但不存在玉米粒中Pb超标的情况(GB 2762-2022).Pb在玉米不同部位迁移富集能力较低,且主要富集在根部,难以向地上部位迁移.不同方法测定的土壤中Pb的生物有效态含量分别为DGT技术(1.32±2.49)µg·L-1、土壤溶液(2.23±3.75)µg·L-1、二乙基三胺五乙酸(DTPA)单独提取法(5.79±2.51)mg·kg-1、醋酸(HAc)单独提取法(0.81±0.49)mg·kg-1和氯化钙(CaCl2)单独提取法(0.05±0.13)mg·kg-1.DGT技术对玉米不同部位Pb含量的预测效果优于其他方法,且对叶中Pb含量的预测效果最佳.研究区大部分土壤固相Pb补给液相的能力较低,但固相上Pb的释放量较为稳定,仍可能会对当地造成潜在的生态风险.整体而言,DGT技术是评估玉米农田土壤中Pb生物有效性的最佳方法,其测定的Pb含量对玉米叶部Pb含量预测效果最佳,但对粒中Pb含量预测效果较差.此外,DGT技术可以结合DIFS模型深入分析土壤内部Pb的动力学的过程,为土壤污染的精准防控提供科学依据.
To verify the feasibility of diffusive gradients in thin-films(DGT)technique for accurately evaluating the bioavailability of lead(Pb)in maize farmland soils in the natural environment,and to explore the kinetic process of Pb in soils based on DGT technique,the extractable Pb concentrations in maize farmland soils in Fenghuang County,Hunan Province,China,were determined by the DGT technique,soil solution method,and single extraction methods.The linear regression analysis was then conducted between the extractable Pb concentrations and Pb concentrations in different parts of maize.The DGT technique combined with DGT induced fluxes in soils and sediments(DIFS)model was employed to simulate the kinetic process of Pb within the soils.The results revealed that the Pb concentrations for 35%soil samples were exceeded the background value of Pb in Hunan Province,while the Pb concentrations for all maize grain samples in the study area were below the standard value(GB 2762-2022).The migration and enrichment ability of Pb in different parts of maize was relatively low and Pb was mainly enriched in the roots,making it difficult to migrate to aboveground parts.The bioavailable Pb concentrations in soils determined by both DGT technique and soil solution were(1.32±2.49)µg·L-1 and(2.23±3.75)µg·L-1,respectively.The bioavailable Pb concentrations determined by diethylenetriaminepentaacetic acid(DTPA),acetic acid(HAc)and calcium chloride(CaCl2)single extraction methods in soils were(5.79±2.51)mg·kg-1,(0.81±0.49)mg·kg-1 and(0.05±0.13)mg·kg-1,respectively.DGT technique demonstrated better prediction for Pb concentrations in different maize parts compared to other methods,with the best prediction observed for Pb concentrations in maize leaves.The DIFS model simulation results indicated a relatively low supply capacity of Pb from the soil solid phase to the liquid phase for the most soil samples.However,the Pb release from the soil solid phase remained relatively stable,potentially posing ecological risks to the local environment.Overall,the DGT technique proved to be the best method for evaluating the bioavailability of Pb in maize farmland soils among all the methods,it can provide good prediction for Pb concentrations in leaves,but not good for Pb concentration in grains.DGT technique enabled to characterize the kinetic process of Pb within the soils when coupled with the DIFS model.This study provides scientific evidence for precise prevention and control of soil pollution.
魏志莹;陈伟;杨秀雯;戴亮亮;赵亚辉;易佳佩;秦超杰;刘威杰;熊俊武;张家泉
中国地质大学(武汉)环境学院,武汉 430078||中国地质大学(武汉)地下水质与健康教育部重点实验室,武汉 430078中国地质大学(武汉)环境学院,武汉 430078||中国地质大学(武汉)地下水质与健康教育部重点实验室,武汉 430078||中国地质大学(武汉)地质调查研究院,武汉 430074||湖北理工学院矿区环境污染控制与修复湖北省重点实验室,湖北 黄石 435003||中国地质大学(武汉)生物地质与环境地质国家重点实验室,武汉 430078中国地质调查局长沙自然资源综合调查中心,湖南 宁乡 410600中国地质大学(武汉)地质调查研究院,武汉 430074湖北理工学院矿区环境污染控制与修复湖北省重点实验室,湖北 黄石 435003
环境科学
梯度扩散薄膜(DGT)DIFS模型生物有效性玉米铅(Pb)
diffusive gradients in thin-films(DGT)DIFS modelbioavailabilitymaizelead(Pb)
《农业环境科学学报》 2024 (008)
1720-1731 / 12
中国地质调查局地质调查项目(DD20211576);国家重点研发计划项目(2019YFC1805502);矿区环境污染控制与修复湖北省重点实验室开放基金(2022XZ103,2014101);中国地质大学(武汉)中央高校基本科研业务费特色学科团队专项项目(G1323523063) China Geological Survey(DD20211576);National Key Research and Development Program of China(2019YFC1805502);Open Research Fund of Hubei Key Laboratory of Mine Environmental Pollution Control and Remediation,Hubei Polytechnic University(2022XZ103,2014101);Fundamental Research Funds for the Central Universities from China University of Geosciences(Wuhan)(G1323523063)
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