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A Remote Sensor System Based on TDLAS Technique for Ammonia Leakage Monitoring
The development of an efficient, portable, real-time, and high-precision ammonia (NH(3)) remote sensor system is of great significance for environmental protection and citizens’ health. We developed a NH(3) remote sensor system based on tunable diode laser absorption spectroscopy (TDLAS) technique t...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036584/ https://www.ncbi.nlm.nih.gov/pubmed/33918129 http://dx.doi.org/10.3390/s21072448 |
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author | Lu, Hongbin Zheng, Chuantao Zhang, Lei Liu, Zhiwei Song, Fang Li, Xiuying Zhang, Yu Wang, Yiding |
author_facet | Lu, Hongbin Zheng, Chuantao Zhang, Lei Liu, Zhiwei Song, Fang Li, Xiuying Zhang, Yu Wang, Yiding |
author_sort | Lu, Hongbin |
collection | PubMed |
description | The development of an efficient, portable, real-time, and high-precision ammonia (NH(3)) remote sensor system is of great significance for environmental protection and citizens’ health. We developed a NH(3) remote sensor system based on tunable diode laser absorption spectroscopy (TDLAS) technique to measure the NH(3) leakage. In order to eliminate the interference of water vapor on NH(3) detection, the wavelength-locked wavelength modulation spectroscopy technique was adopted to stabilize the output wavelength of the laser at 6612.7 cm(−1), which significantly increased the sampling frequency of the sensor system. To solve the problem in that the light intensity received by the detector keeps changing, the 2f/1f signal processing technique was adopted. The practical application results proved that the 2f/1f signal processing technique had a satisfactory suppression effect on the signal fluctuation caused by distance changing. Using Allan deviation analysis, we determined the stability and limit of detection (LoD). The system could reach a LoD of 16.6 ppm·m at an average time of 2.8 s, and a LoD of 0.5 ppm·m at an optimum averaging time of 778.4 s. Finally, the measurement result of simulated ammonia leakage verified that the ammonia remote sensor system could meet the need for ammonia leakage detection in the industrial production process. |
format | Online Article Text |
id | pubmed-8036584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80365842021-04-12 A Remote Sensor System Based on TDLAS Technique for Ammonia Leakage Monitoring Lu, Hongbin Zheng, Chuantao Zhang, Lei Liu, Zhiwei Song, Fang Li, Xiuying Zhang, Yu Wang, Yiding Sensors (Basel) Article The development of an efficient, portable, real-time, and high-precision ammonia (NH(3)) remote sensor system is of great significance for environmental protection and citizens’ health. We developed a NH(3) remote sensor system based on tunable diode laser absorption spectroscopy (TDLAS) technique to measure the NH(3) leakage. In order to eliminate the interference of water vapor on NH(3) detection, the wavelength-locked wavelength modulation spectroscopy technique was adopted to stabilize the output wavelength of the laser at 6612.7 cm(−1), which significantly increased the sampling frequency of the sensor system. To solve the problem in that the light intensity received by the detector keeps changing, the 2f/1f signal processing technique was adopted. The practical application results proved that the 2f/1f signal processing technique had a satisfactory suppression effect on the signal fluctuation caused by distance changing. Using Allan deviation analysis, we determined the stability and limit of detection (LoD). The system could reach a LoD of 16.6 ppm·m at an average time of 2.8 s, and a LoD of 0.5 ppm·m at an optimum averaging time of 778.4 s. Finally, the measurement result of simulated ammonia leakage verified that the ammonia remote sensor system could meet the need for ammonia leakage detection in the industrial production process. MDPI 2021-04-02 /pmc/articles/PMC8036584/ /pubmed/33918129 http://dx.doi.org/10.3390/s21072448 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lu, Hongbin Zheng, Chuantao Zhang, Lei Liu, Zhiwei Song, Fang Li, Xiuying Zhang, Yu Wang, Yiding A Remote Sensor System Based on TDLAS Technique for Ammonia Leakage Monitoring |
title | A Remote Sensor System Based on TDLAS Technique for Ammonia Leakage Monitoring |
title_full | A Remote Sensor System Based on TDLAS Technique for Ammonia Leakage Monitoring |
title_fullStr | A Remote Sensor System Based on TDLAS Technique for Ammonia Leakage Monitoring |
title_full_unstemmed | A Remote Sensor System Based on TDLAS Technique for Ammonia Leakage Monitoring |
title_short | A Remote Sensor System Based on TDLAS Technique for Ammonia Leakage Monitoring |
title_sort | remote sensor system based on tdlas technique for ammonia leakage monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036584/ https://www.ncbi.nlm.nih.gov/pubmed/33918129 http://dx.doi.org/10.3390/s21072448 |
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