Hybrid nanostructured photoanodes for photoelectrochemical determination of chemical oxygen demand

工业活动的一个重要影响是污染。这种污染的一种形式是这些过程产生的废水。法规对这些废水有严格的限制，要求它们在排放之前必须经过处理，达到规定的水平。目前确定这种废水中污染物水平的方法依赖于采集水样并将其通过通常需要数小时才能确定测量废水质量的化学需氧量（COD）参数的过程。此外，可以进行这种测量的动态范围是有限的-具有宽动态范围的在线COD检测将是理想的解决方案。这是我们建议的目的。JNE是加拿大最重要的废水处理公司之一，这种传感器可以帮助他们在全球范围内占据独特的地位。我们的建议提出了一个独特的纳米结构的在线传感器，应该有这样的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对总部合格人员进行培训。

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.