A novel bioelectrochemical method for real-time nitrate monitoring.

ABSTRACT

Nitrate is one of the most common pollutants in the water environment. A key factor for the effective control and removal of nitrate is the ability to accurately determine the nitrate concentration in groundwater and the secondary effluent of wastewater treatment plants. Here, a bioelectrochemical method for real-time detection of the nitrate was developed. In this work, a kinetic model was developed to describe the correlation between the nitrate concentration and the current. Standard addition experiments showed the relative error between indicator predictions and ion chromatographic values ranged from 3.14% to 9.74%. The monitoring results of secondary effluent showed that the system could give a good response at different nitrate concentrations. The average error of not >10.85% between the indicator predictions and ion chromatographic values was demonstrated. This study offers a new method for the development of sustainable bioelectrochemical system (BES)-based technology for the real-time detection of nitrate in groundwater and the secondary effluent.