Collaborative Innovation Centre of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Reading Academy , Nanjing University of Information Science & Technology , Nanjing , Jiangsu 210044 , P. R. China.
Centre for Clean Environment and Energy, School of Environment , Griffith University , Gold Coast Campus, Southport , Queensland 4222 , Australia.
ACS Sens. 2019 Jul 26;4(7):1881-1888. doi: 10.1021/acssensors.9b00768. Epub 2019 Jun 20.
Ammonia is a necessary monitoring parameter that should be controlled within an optimum range in the whole process of wastewater treatment and recycling, but few reliable real-time monitoring technologies are available currently under such harsh water conditions. This study proposes a continuous conductometric flow-through analyzer for ammonia monitoring (CFAA) in the wastewater treatment process. It is developed based on the gas diffusion mechanisms, and the proposed analytical principle has been validated in which the real-time conductivity increment rate is linearly proportional to the real-time ammonia concentration in the sample. This method could be generally applicable in monitoring a wide ammonia concentration range (10.2 μg L to 500 mg L), and it is capable of achieving long-term ammonia monitoring by periodic renewal of the receiving solution. The potential impact factors and corresponding calibration principles are also developed to avoid tedious ongoing calibration. The field application results demonstrate that CFAA can effectively and directly achieve real-time and average ammoniacal nitrogen monitoring at different treatment stages regardless of the complexity of wastewater, not requiring any sample pretreatment. Compared with other ammonia online monitoring technologies, the proposed CFAA shows remarkable advantages in high reliability, durability, and accuracy, especially under severe monitoring condition. It can be a useful monitoring tool for continuous ammonia control in the wastewater treatment process.
氨是废水处理和再利用全过程中需要控制的必要监测参数,应控制在最佳范围内,但目前在这种恶劣的水质条件下,可用的可靠实时监测技术很少。本研究提出了一种用于废水处理过程中氨监测的连续电导流量分析器 (CFAA)。它是基于气体扩散机制开发的,所提出的分析原理已经过验证,其中实时电导率增量率与样品中实时氨浓度呈线性比例关系。该方法通常适用于监测宽浓度范围的氨(10.2μg/L 至 500mg/L),并且可以通过定期更新接收溶液来实现长期的氨监测。还开发了潜在的影响因素和相应的校准原理,以避免繁琐的持续校准。现场应用结果表明,CFAA 可以有效地直接实现不同处理阶段的实时和平均氨氮监测,而不受废水复杂性的影响,无需任何样品预处理。与其他氨在线监测技术相比,所提出的 CFAA 在高可靠性、耐用性和准确性方面具有显著优势,特别是在恶劣的监测条件下。它可以成为废水处理过程中连续氨控制的有用监测工具。