Nitrogen sensor based on quantum cascade lasers (QCLs) for wastewater treatment process control and optimization (Conference Presentation)

Katy Roodenko; D. Hinojos; K. Hodges; B.-J. Pandey; J.-F. Veyan; K. P. Clark; D. I. Robbins

doi:10.1117/12.2553691

9 March 2020 Nitrogen sensor based on quantum cascade lasers (QCLs) for wastewater treatment process control and optimization (Conference Presentation)

Katy Roodenko, D. Hinojos, K. Hodges, B.-J. Pandey, J.-F. Veyan, K. P. Clark, D. I. Robbins

Author Affiliations +

Proceedings Volume 11233, Optical Fibers and Sensors for Medical Diagnostics and Treatment Applications XX; 112330C (2020) https://doi.org/10.1117/12.2553691
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

We report on the development of infrared sensor for monitoring of nitrogen as nitrate, nitrite and ammonia in municipal wastewater. To overcome the challenge of strong absorption of the infrared radiation in water, the radiation is transmitted through a waveguide in contact with water rather than through water itself, implementing an attenuated total reflection (ATR) mechanism. Infrared spectroscopy is a powerful tool for identification and quantification of functional molecular groups. Introduction of QCLs reduces the reliance on bulky Fourier Transform Infrared (FT-IR) spectrometers that are sensitive to vibrations and enables development of versatile, portable instrumentation. Efficient nitrogen removal is one of the key objectives of any municipal wastewater treatment operation, yet today, nitrogen is monitored through grab-sampling and sending samples to laboratories for analysis. The sensor will enable reliable, real-time, unsupervised sensing in harsh environment.

Conference Presentation

Citation Download Citation

Katy Roodenko, D. Hinojos, K. Hodges, B.-J. Pandey, J.-F. Veyan, K. P. Clark, and D. I. Robbins "Nitrogen sensor based on quantum cascade lasers (QCLs) for wastewater treatment process control and optimization (Conference Presentation)", Proc. SPIE 11233, Optical Fibers and Sensors for Medical Diagnostics and Treatment Applications XX, 112330C (9 March 2020); https://doi.org/10.1117/12.2553691

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