相关实验视频

Updated: Jun 9, 2026

Identifying Per- and Polyfluorinated Chemical Species with a Combined Targeted and Non-Targeted-Screening High-Resolution Mass Spectrometry Workflow
09:04

Identifying Per- and Polyfluorinated Chemical Species with a Combined Targeted and Non-Targeted-Screening High-Resolution Mass Spectrometry Workflow

Published on: April 18, 2019

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使用带有多模特特征融合的定向消息传递神经网络预测Per-和多基物质的生物度因子

Jingzhi Yao1,2, Yingqing Shou3, Nan Sheng1

  • 1State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Environmental science & technology
|May 20, 2025
PubMed
概括

这项研究评估了斑马鱼中和多醇基物质 (PFAS) 的生物积累,开发了对这些新出现的污染物的环境风险评估的预测模型.

关键词:
生物度因子生物度因子这些新兴的PFAS.环境风险 环境风险功能融合功能融合功能机器学习是机器学习.

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Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

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Investigating Long-Distance Transport of Perfluoroalkyl Acids in Wheat via a Split-Root Exposure Technique07:06

Investigating Long-Distance Transport of Perfluoroalkyl Acids in Wheat via a Split-Root Exposure Technique

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