A predictive model for arsenic accumulation in rice grains based on bioavailable arsenic and soil characteristics
文献类型：期刊论文
| 作者 | Yao, Bao-Min; Chen, Peng ; Zhang, Hong-Mei; Sun, Guo-Xin
|
| 刊名 | JOURNAL OF HAZARDOUS MATERIALS
 |
| 出版日期 | 2021-06-15 |
| 卷号 | 412页码:- |
| 关键词 | Rice Bioavailable arsenic (As) Transfer factor Prediction models |
| ISSN号 | 0304-3894 |
| 英文摘要 | Arsenic (As) is a well-known human carcinogen, and rice consumption is the main way Chinese people are exposed to As. In this study, 14 kinds of paddy soils were collected from the main rice-producing areas in China. The results showed that rice roots and leaves accumulated more As than stems and grains in the following sequence: Asroot Asleaf > Asstem > Asgrain. The accumulation of As by rice grains mainly depends on the total As and bioavailable As (0.43 mol/L HNO3 extractable As), which explained 32.2% and 22.2% of the variation in the grain As, respectively. In addition, soil pH, organic matter (OM) and clay contents were the major factors affecting grain As, explaining 13.1%, 7.9% and 5.3% of the variation, respectively. An effective prediction model was established via multiple linear regression as Asgrain = 0.024 BAs - 0.225 pH + 0.013 OM + 0.648 EC - 0.320 TN - 0.088 TP - 0.002 AS + 2.157 (R2 = 0.68, P < 0.01). Through the verification of the samples from both pot experiments and paddy fields, the model successfully provided accurate predictions for rice grain As. |
| WOS研究方向 | Engineering, Environmental ; Environmental Sciences |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/45396]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Jiaxing Acad Agr Sci, Xiuzhou Dist 314016, Jiaxing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yao, Bao-Min,Chen, Peng,Zhang, Hong-Mei,et al. A predictive model for arsenic accumulation in rice grains based on bioavailable arsenic and soil characteristics[J]. JOURNAL OF HAZARDOUS MATERIALS,2021,412:-. |
| APA | Yao, Bao-Min,Chen, Peng,Zhang, Hong-Mei,&Sun, Guo-Xin.(2021).A predictive model for arsenic accumulation in rice grains based on bioavailable arsenic and soil characteristics.JOURNAL OF HAZARDOUS MATERIALS,412,-. |
| MLA | Yao, Bao-Min,et al."A predictive model for arsenic accumulation in rice grains based on bioavailable arsenic and soil characteristics".JOURNAL OF HAZARDOUS MATERIALS 412(2021):-. |
入库方式： OAI收割
来源：生态环境研究中心
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