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: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=719588
• 关键词: Hybrid; nanostructured; photoanodes; photoelectrochemical; determination

A significant impact of industrial activity is pollution. One form such pollution takes is the wastewater arisingfrom such processes. Regulations put strict limits on these wastewaters which require that they be treated to alegislated level before they can be discharged. Current methods for establishing the level of pollutants in suchwastewaters rely on taking a sample of the water and putting it through a process which typically takes hours toestablish 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 widedynamic range would be the ideal solution. This is the objective of our proposal. JNE is one of Canada'sforemost companies working in the treatment of wastewaters and such a sensor can help propel them into aunique position globally. Our proposal presents a unique nanostructured online sensor that should have theprerequisite sensitivity and robustness for such industrial application. The proposal should also provide for thetraining of HQPs in a state of the art area.

工业活动的一个重大影响是污染。这种污染的一种形式是这些过程产生的废水。法规对这些废水进行了严格的限制，要求它们在排放之前被处理到法定水平。目前确定这类废水中污染物水平的方法依赖于采集水样本，并将其通过一个通常需要数小时的过程来建立化学需氧量（COD）参数，以测量废水的质量。此外，可以进行这种测量的动态范围是有限的-在线COD检测具有宽动态范围将是理想的解决方案。这就是我们提议的目标。JNE是加拿大在污水处理方面最重要的公司之一，这种传感器可以帮助他们在全球范围内占据独特的地位。我们的提案提出了一种独特的纳米结构在线传感器，它应该具有这种工业应用的先决条件的灵敏度和鲁棒性。提案还应规定在最先进的领域对hqp进行培训。