Smart passive sampling of heavy metals in aquatic systems

水生系统中重金属的智能被动采样

• 批准号: LP160100687
• 负责人: Prof Spas Kolev
• 金额: $ 20.01万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-11-23 至 2020-11-22
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP160100687
• 关键词: Smart; passive; sampling; heavy; metals

Smart passive sampling of heavy metals in aquatic systems. This project aims to construct smart devices with extracting polymeric membranes for advanced passive sampling of heavy metal ions. These devices should improve the passive sampling of pollutants such as heavy metals by overcoming the effect of the variability of water temperature, composition and velocity during sampling, which substantially reduces the reliability of analytical data. These devices are expected to reliably identify sources of heavy metal pollution in urban municipal wastewaters and stormwaters without the need for labour intensive monitoring operations, thus saving considerable time and expense to the Australian water industry.

水生系统中重金属的智能被动采样。该项目旨在通过提取聚合物膜来构建智能设备，以进行重金属离子的高级被动采样。这些设备应通过克服抽样过程中水温，成分和速度的变异性的影响来改善污染物（例如重金属）的被动采样，从而大大降低了分析数据的可靠性。预计这些设备将可靠地确定城市城市废水和暴风雨中重金属污染的来源，而无需进行劳动密集的监测操作，从而节省了大量时间和费用。