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从这种过程中产生的废水。法规对这些废水进行了严格的限制，要求在排放之前将其处理到法定水平。目前确定这类废水中污染物水平的方法依赖于采集水样并进行一个过程，该过程通常需要几个小时来确定衡量废水质量的化学需氧量(COD)参数。此外，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。这就是我们建议的目标。JNE是加拿大致力于废水处理的领先公司之一，这样的传感器可以帮助他们在全球处于独特的地位。我们的建议提出了一种独特的纳米结构在线传感器，它应该具有此类工业应用所必需的灵敏度和健壮性。该提案还应规定在技术水平最高的地区培训总部医生。

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.