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基于PMT预测模型的农田持久性、可迁移性、毒性污染物筛选技术研究

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李晨男, 于洋, 郑玉婷, 张丽丽, 林军, 于彩虹, 黄怡, 王力明. 基于PMT预测模型的农田持久性、可迁移性、毒性污染物筛选技术研究[J]. 生态毒理学报, 2022, 17(3): 121-128. doi: 10.7524/AJE.1673-5897.20210901001
引用本文: 李晨男, 于洋, 郑玉婷, 张丽丽, 林军, 于彩虹, 黄怡, 王力明. 基于PMT预测模型的农田持久性、可迁移性、毒性污染物筛选技术研究[J]. 生态毒理学报, 2022, 17(3): 121-128. doi: 10.7524/AJE.1673-5897.20210901001
shu
Li Chennan, Yu Yang, Zheng Yuting, Zhang Lili, Lin Jun, Yu Caihong, Huang Yi, Wang Liming. Study on Screening Technology of Persistent, Mobile and Toxic Pollutants in Farmland Based on PMT Prediction Model[J]. Asian journal of ecotoxicology, 2022, 17(3): 121-128. doi: 10.7524/AJE.1673-5897.20210901001
Citation: Li Chennan, Yu Yang, Zheng Yuting, Zhang Lili, Lin Jun, Yu Caihong, Huang Yi, Wang Liming. Study on Screening Technology of Persistent, Mobile and Toxic Pollutants in Farmland Based on PMT Prediction Model[J]. Asian journal of ecotoxicology, 2022, 17(3): 121-128. doi: 10.7524/AJE.1673-5897.20210901001
shu

基于PMT预测模型的农田持久性、可迁移性、毒性污染物筛选技术研究

  • 1. 生态环境部固体废物与化学品管理技术中心, 北京 100029;

  • 2. 中国矿业大学(北京)化学与环境工程学院, 北京 100083;

  • 3. 北京市污染源管理事务中心, 北京 100089

    • 作者简介: 李晨男(1996—),男,硕士研究生,研究方向为计算毒理学,E-mail:18864830356@163.com
    通讯作者: 于洋, E-mail: yuyang@meescc.cn ; 
  • 基金项目:

    有机地球化学国家重点实验室开放基金课题（SKLOG2020）；国家重点研发计划（2016YFD0200208，2017YFD0800701）

  • 中图分类号: X171.5

Study on Screening Technology of Persistent, Mobile and Toxic Pollutants in Farmland Based on PMT Prediction Model

  • 1. Solid Waste and Chemicals Management Center, Ministry of Ecology and Environment, Beijing 100029, China;

  • 2. School of Chemical and Environmental Engineering, China University of Mining and Technology, Beijing 100083, China;

  • 3. Beijing Municipal Pollution Source Management Center, Beijing 100089, China

    • Corresponding author: Yu Yang, yuyang@meescc.cn ; 
  • Fund Project:

  • 摘要: PMTs （persistent，mobile and toxic compounds）是一类具有水相持久性和迁移性，且具有环境生物毒性的物质，其在环境中难降解或半衰期较长而且水溶性高，容易通过降水进入自然水体，在地下水及饮用水中持续累积，进而可能影响饮用水水质。本研究利用PMT预测软件结合名录比对法，开展农田中农药、酞酸酯、抗生素和激素等有毒有害物质的PMT属性的预测及验证。结果表明，模型预测结果具有较好的准确性，持久性（P）、可迁移性（M）、毒性（T）以及PMT的预测结果与已有数据相比一致率分别为89.3%、89.3%、77.9%和70.5%。建立了包含334种化学物质的农田污染物初筛名单，并识别出120种农田PMT污染物。本研究建立的农田PMT污染物快速筛选方法及清单，可为我国进一步开展PMT类污染物研究提供一定参考。
    Abstract: PMTs (persistent, mobile and toxic compounds) are a kind of substances with water phase persistence and mobility and toxic effects in the environment. These substances are difficult to degrade or have a long half-life in the environment, and have high water solubility. They are easy to enter the natural water body through precipitation and continuously enrich in groundwater and drinking water, which may affect the quality of drinking water and cause serious harm. As the largest non-point source pollution industry in China, agriculture has a wide variety of pollutants, including a large number of PMT pollutants. In order to quickly identify PMT pollutants from a large number of toxic and harmful substances in farmland, this study used the PMT prediction model software developed by the Solid Waste and Chemicals Management Center of Ministry of Ecology and Environment and combined with the directory comparison method to verify the prediction results and predict the PMT attributes of pesticides, phthalates, antibiotics, hormones and other toxic and harmful substances in farmland. The PMT model validation results show that the prediction results of the model have good accuracy. Compared with the existing data, the consistency rates of the prediction results of chemical substance persistence (P), mobility (M), toxicity (T) and PMT are 89.3%, 89.3%, 77.9% and 70.5% respectively. The preliminary screening list of farmland pollutants containing 334 chemical substances was established by database retrieval method, literature research method and directory comparison method. The preliminary screening list was screened by PMT prediction model combined with directory comparison method, and 120 kinds of farmland PMT pollutants were identified. The high-throughput rapid screening method of farmland PMT pollutants explored in this study can provide a reference for the screening of PMT pollutants in China.
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  • 收稿日期:  2021-09-01
李晨男, 于洋, 郑玉婷, 张丽丽, 林军, 于彩虹, 黄怡, 王力明. 基于PMT预测模型的农田持久性、可迁移性、毒性污染物筛选技术研究[J]. 生态毒理学报, 2022, 17(3): 121-128. doi: 10.7524/AJE.1673-5897.20210901001
引用本文: 李晨男, 于洋, 郑玉婷, 张丽丽, 林军, 于彩虹, 黄怡, 王力明. 基于PMT预测模型的农田持久性、可迁移性、毒性污染物筛选技术研究[J]. 生态毒理学报, 2022, 17(3): 121-128. doi: 10.7524/AJE.1673-5897.20210901001
shu
Li Chennan, Yu Yang, Zheng Yuting, Zhang Lili, Lin Jun, Yu Caihong, Huang Yi, Wang Liming. Study on Screening Technology of Persistent, Mobile and Toxic Pollutants in Farmland Based on PMT Prediction Model[J]. Asian journal of ecotoxicology, 2022, 17(3): 121-128. doi: 10.7524/AJE.1673-5897.20210901001
Citation: Li Chennan, Yu Yang, Zheng Yuting, Zhang Lili, Lin Jun, Yu Caihong, Huang Yi, Wang Liming. Study on Screening Technology of Persistent, Mobile and Toxic Pollutants in Farmland Based on PMT Prediction Model[J]. Asian journal of ecotoxicology, 2022, 17(3): 121-128. doi: 10.7524/AJE.1673-5897.20210901001
shu

基于PMT预测模型的农田持久性、可迁移性、毒性污染物筛选技术研究

    通讯作者: 于洋, E-mail: yuyang@meescc.cn ; 
    作者简介: 李晨男(1996—),男,硕士研究生,研究方向为计算毒理学,E-mail:18864830356@163.com
  • 1. 生态环境部固体废物与化学品管理技术中心, 北京 100029;
  • 2. 中国矿业大学(北京)化学与环境工程学院, 北京 100083;
  • 3. 北京市污染源管理事务中心, 北京 100089
  • 收稿日期:  2021-09-01
基金项目:

有机地球化学国家重点实验室开放基金课题（SKLOG2020）；国家重点研发计划（2016YFD0200208，2017YFD0800701）

摘要: PMTs （persistent，mobile and toxic compounds）是一类具有水相持久性和迁移性，且具有环境生物毒性的物质，其在环境中难降解或半衰期较长而且水溶性高，容易通过降水进入自然水体，在地下水及饮用水中持续累积，进而可能影响饮用水水质。本研究利用PMT预测软件结合名录比对法，开展农田中农药、酞酸酯、抗生素和激素等有毒有害物质的PMT属性的预测及验证。结果表明，模型预测结果具有较好的准确性，持久性（P）、可迁移性（M）、毒性（T）以及PMT的预测结果与已有数据相比一致率分别为89.3%、89.3%、77.9%和70.5%。建立了包含334种化学物质的农田污染物初筛名单，并识别出120种农田PMT污染物。本研究建立的农田PMT污染物快速筛选方法及清单，可为我国进一步开展PMT类污染物研究提供一定参考。

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