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不同土壤镉提取方法预测稻米富集镉性能评估
引用本文:鄂倩,赵玉杰,刘潇威,李志涛,张闯闯,孙杨,周其文,梁学峰,王海华.不同土壤镉提取方法预测稻米富集镉性能评估[J].农业环境科学学报,2020,39(5):1000-1009.
作者姓名:鄂倩  赵玉杰  刘潇威  李志涛  张闯闯  孙杨  周其文  梁学峰  王海华
作者单位:农业农村部农产品质量安全环境因子控制重点实验室,农业农村部环境保护科研监测所,天津 300191;生态环境部土壤与农业农村生态环境监管技术中心,北京 100012;临沂市自然资源和规划局,山东 临沂 276000
基金项目:中央级公益性科研院所基本科研业务费专项(农业农村部环境保护科研监测所);国家重点研发计划-农产品重金属污染防控机制与示范应用(2016YFD0800307-4);农产品质量安全环境因子风险评估重点专项(GJFP2019036)
摘    要:为筛选土壤镉(Cd)有效态提取方法并建立其与稻米Cd污染之间的累积模型,采用大田协同采样方式收集了土壤-水稻140对样品,分别研究了土壤Cd总量及土壤溶液Cd含量和化学浸提(醋酸HAc、复合有机酸、乙二胺四乙酸EDTA、CaCl2)、梯度扩散薄膜(DGT)技术提取的Cd含量与水稻糙米Cd含量的相关性,以评估不同提取方法预测稻米Cd累积模型的可行性。结果表明,研究区所在的长株潭地区存在较为明显的土壤及稻米Cd污染风险,EDTA提取Cd含量与土壤Cd总量显著正相关,模型拟合决定系数R2达到0.908 4,以总量预测稻米Cd污染存在37.2%~39.8%的误判率,0.01 mol·L^-1CaCl2提取的土壤Cd有效态含量存在明显的适用范围限制,在0.04~0.13 mg·kg^-1范围内,效果明显差于其他数据区域,模型决定系数R2仅为0.006。DGT技术能较好地预测稻米对Cd的吸收富集性能,且能区分土壤库供给能力差异对稻米富集Cd的影响,与传统化学浸提方法比较,DGT技术提取的土壤Cd有效态含量与稻米Cd含量具有更好的相关性(R^2=0.585 4,0.900 9),是预测稻米富集Cd较为理想的土壤有效态提取方法。

关 键 词:稻米  镉(Cd)  有效态  梯度扩散薄膜(DGT)
收稿时间:2020/3/10 0:00:00

Screening and evaluation of soil cadmium extraction methods for predicting cadmium accumulation in rice
E Qian,ZHAO Yu-jie,LIU Xiao-wei,LI Zhi-tao,ZHANG Chuang-chuang,SUN Yang,ZHOU Qi-wen,LIANG Xue-feng and WANG Hai-hua.Screening and evaluation of soil cadmium extraction methods for predicting cadmium accumulation in rice[J].Journal of Agro-Environment Science( J. Agro-Environ. Sci.),2020,39(5):1000-1009.
Authors:E Qian  ZHAO Yu-jie  LIU Xiao-wei  LI Zhi-tao  ZHANG Chuang-chuang  SUN Yang  ZHOU Qi-wen  LIANG Xue-feng and WANG Hai-hua
Institution:Key Laboratory for Environmental Factor Control of Agro-product Quality Safety, Agro-environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China,Key Laboratory for Environmental Factor Control of Agro-product Quality Safety, Agro-environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China,Key Laboratory for Environmental Factor Control of Agro-product Quality Safety, Agro-environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China,Technical Center for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China,Key Laboratory for Environmental Factor Control of Agro-product Quality Safety, Agro-environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China,Key Laboratory for Environmental Factor Control of Agro-product Quality Safety, Agro-environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China,Key Laboratory for Environmental Factor Control of Agro-product Quality Safety, Agro-environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China,Key Laboratory for Environmental Factor Control of Agro-product Quality Safety, Agro-environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China and Linyi Natural Resources and Planing Bureau, Linyi 276000, China
Abstract:Screening of extraction methods for available Cd in soils and establishing prediction models for Cd accumulation in rice are essential for assessing and classifying soil environmental quality. In this study, a total of 140 pairs of brown rice and soil samples were collected from Cd-contaminated paddy fields in the Changsha-Zhuzhou-Xiangtan area in Hunan Province. Total Cd concentrations in the soils and soil solutions, concentrations determined via chemical extraction methods using acetic acid (HAc), composite organic acid, ethylene diamine tetraacetic acid (EDTA), and CaCl2, respectively, and available fraction analyzed via diffusion gradient in thin-film (DGT)technology were obtained and used to establish soil-rice Cd accumulation models. The results indicated the Cd pollution risk for soil and rice in the study region. The Cd concentration extracted using EDTA was significantly correlated with total soil Cd content (R2=0.908 4). False rates of predicting rice Cd concentration using total soil Cd content were 37.2%~39.8%. The performance of the prediction model was significantly concentration-dependent for the CaCl2 extraction method, with a low determination coefficient (R2=0.006)for concentrations of 0.04~0.13 mg·kg-1 compared to that for the other concentrations. However, DGT technology proved to be a better tool for extracting available Cd to establish the prediction models (R2=0.585 4, 0.900 9)for rice Cd accumulation than chemical extraction methods were as well as for distinguishing the effect of the soil bank supply capacity on Cd enrichment by rice.
Keywords:rice  cadmium (Cd)  bioavailability  diffusion gradient in thin-film(DGT)
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