Hybrid nanostructured photoanodes for photoelectrochemical determination of chemical oxygen demand

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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.