Hybrid nanostructured photoanodes for photoelectrochemical determination of chemical oxygen demand

用于光电化学测定化学需氧量的混合纳米结构光阳极

• 批准号: 549206-2019
• 负责人: Ruda, Harry
• 金额: $ 3.75万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=701093
• 关键词: Hybrid; nanostructured; photoanodes; photoelectrochemical; determination

A significant impact of industrial activity is pollution. One form such pollution takes is the wastewater arising from such processes. Regulations put strict limits on these wastewaters which require that they be treated to a legislated level before they can be discharged. Current methods for establishing the level of pollutants in such wastewaters rely on taking a sample of the water and putting it through a process which typically takes hours to establish the chemical oxygen demand (COD) parameter measuring the quality of the wastewater. Moreover, the dynamic range over which such measurements can be made is limited - online COD detection with wide dynamic range would be the ideal solution. This is the objective of our proposal. JNE is one of Canada's foremost companies working in the treatment of wastewaters and such a sensor can help propel them into a unique position globally. Our proposal presents a unique nanostructured online sensor that should have the prerequisite sensitivity and robustness for such industrial application. The proposal should also provide for the training of HQPs in a state of the art area.

工业活动的一个重要影响是污染。这种污染的一种形式是产生的废水 从这些过程中。法规对这些废水进行了严格的限制，要求将其处理到 立法规定的水平，才可以出院。目前用于确定此类污染物水平的方法 废水处理依赖于对水进行取样，并将其通过通常需要数小时的处理过程， 建立了衡量废水水质的化学需氧量（COD）参数。此外，委员会认为， 可以进行这种测量的动态范围是有限的-在线COD检测 动态范围将是理想的解决方案。这是我们建议的目的。JNE是加拿大 最重要的公司在废水处理工作，这样的传感器可以帮助推动他们进入一个 全球独一无二的地位。我们的建议提出了一个独特的纳米结构的在线传感器，应该有 这种工业应用的先决条件的灵敏度和鲁棒性。该提案还应规定， 在最先进的领域培训HQP。