Literature DB >> 33669390

A Low-Cost Optoacoustic Sensor for Environmental Monitoring.

Antonios Stylogiannis1,2, Nikolaos Kousias3, Anastasios Kontses3, Leonidas Ntziachristos3, Vasilis Ntziachristos1,2.   

Abstract

Attention to Black Carbon (BC) has been rising due to its effects on human health as well its contribution to climate change. Measurements of BC are challenging, as currently used devices are either expensive or impractical for continuous monitoring. Here, we propose an optoacoustic sensor to address this problem. The sensor utilizes a novel ellipsoidal design for refocusing the optoacoustic signal with minimal acoustic energy losses. To reduce the cost of the system, without sacrificing accuracy, an overdriven laser diode and a Quartz Tuning Fork are used as the light source and the sound detector, respectively. The prototype was able to detect BC particles and to accurately monitor changes in concentration in real time and with very good agreement with a reference instrument. The response of the sensor was linearly dependent on the BC particles concentration with a normalized noise equivalent absorption coefficient (NNEA) for soot equal to 7.39 × 10-9 W cm-1 Hz-1/2. Finally, the prototype was able to perform NO2 measurements, demonstrating its ability to accurately monitor both particulate and gaseous pollutants. The proposed sensor has the potential to offer a significant economic impact for BC environmental measurements and source appointment technologies.

Entities:  

Keywords:  NO2; QEPAS; QTF; black carbon; exhaust gas; miniaturized; photoacoustic; soot

Year:  2021        PMID: 33669390     DOI: 10.3390/s21041379

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  Deep-Learning-Based Algorithm for the Removal of Electromagnetic Interference Noise in Photoacoustic Endoscopic Image Processing.

Authors:  Oleksandra Gulenko; Hyunmo Yang; KiSik Kim; Jin Young Youm; Minjae Kim; Yunho Kim; Woonggyu Jung; Joon-Mo Yang
Journal:  Sensors (Basel)       Date:  2022-05-23       Impact factor: 3.847

2.  Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things.

Authors:  Jing Mi; Xinghua Sun; Shihui Zhang; Naidi Liu
Journal:  Int J Anal Chem       Date:  2022-08-17       Impact factor: 1.698

  2 in total

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