Literature DB >> 31244006

Online Conductimetric Flow-Through Analyzer Based on Membrane Diffusion for Ammonia Control in Wastewater Treatment Process.

Tianling Li1,2, Ming Zhou2, Zhaoyi Fan1, Xiaoxiao Li1, Jianyin Huang2,3, Yonghong Wu4, Huijun Zhao2, Shanqing Zhang2.   

Abstract

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-1 to 500 mg L-1), 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.

Entities:  

Keywords:  ammonia; flow-through electrochemical sensor; membrane diffusion; online monitoring; real-time detection; wastewater

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Year:  2019        PMID: 31244006     DOI: 10.1021/acssensors.9b00768

Source DB:  PubMed          Journal:  ACS Sens        ISSN: 2379-3694            Impact factor:   7.711


  1 in total

1.  An In Situ Analyzer for Two-Dimensional Fe(II) Distribution in Sediment Pore Water Based on Ferrozine Coloration and Computer Imaging Densitometry.

Authors:  Mingjie Ma; Honghui Wang; Jin Xu; Yongming Huang; Dongxing Yuan; Xiaochang Zhang; Qingyong Song
Journal:  ACS Omega       Date:  2020-12-01
  1 in total

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