Cavity-Enhanced Measurements of Benzene for Environmental Monitoring

Mhanna, Mhanna; Zhang, Guangle; Kunnummal, Noushad; Farooq, Aamir

doi:10.1109/jsen.2020.3026981

Cited by 29 publications

(12 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… As could be seen from the data comparison in Table 1 , the data measured by the system was close to that measured by the instrument in terms of value. And, the overall error was small, which could be further reduced by selecting sensors with better performance [ 25 ]. Real-timeness test of the system.…”

Section: Results Analysismentioning

confidence: 99%

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

Sun

Zhang

et al. 2022

International Journal of Analytical Chemistry

View full text Add to dashboard Cite

In order to solve the problems of single monitoring factor, weak comprehensive analysis ability, and poor real time performance in traditional environmental monitoring systems, a research method of residential environment pollution monitoring system based on cloud computing and Internet of Things is proposed. The method mainly includes two parts: an environmental monitoring terminal and an environmental pollution monitoring and management platform. Through the Wi-Fi module, the data is sent to the environmental pollution monitoring and management platform in real time. The environmental monitoring management platform is mainly composed of environmental pollution monitoring server, web server, and mobile terminal. The results are as follows. The data measured by the system is close to the data measured by the instrument, and the overall error is small. The measurement error of harmful gases is about 6%. PM 2.5 is about 6.5%. Noise is about 1%. The average time for sensor data update is 0.762 s. The average alarm response time is 2 s. The average data transfer time is 2 s. Practice has proved that the environmental pollution monitoring and alarm system operates stably and can realize real-time collection and transmission of data such as noise, PM 2.5, harmful gas concentration, illumination, GPS, and video images, providing a reliable guarantee for timely environmental pollution control.

show abstract

Section: Results Analysismentioning

confidence: 99%

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

Sun

Zhang

et al. 2022

International Journal of Analytical Chemistry

View full text Add to dashboard Cite

show abstract

“…In a recent study, Mhanna et al used a 3.3 μm DFB-ICL as the light source and obtained an effective absorption path length of 1.39 km through the off-axis incidence. They finally realized the detection of the ppt level of benzene vapor [71].…”

Section: The Design Of Effective Absorption Pathmentioning

confidence: 99%

Improvement of the Detection Sensitivity for Tunable Diode Laser Absorption Spectroscopy: A Review

et al. 2022

View full text Add to dashboard Cite

Tunable Diode Laser Absorption Spectroscopy (TDLAS), a trace gas sensing technology based on infrared absorption spectroscopy, has been developed rapidly in the past few decades. The advantages of low cost and easy miniaturization could be applied in real-time monitoring. As an important factor, the detection sensitivity of TDLAS has been improved by a variety of methods. In this review paper, the important advances in TDLAS detection sensitivity are discussed, including the selection of absorption lines, the improvement of diode lasers, the design of effective optical paths, data demodulation, and the suppression of background interference. For gases with high application values, such as CH4, CO2, and NO, we summarize the detection sensitivity that the existing TDLAS system has been achieved, combined with the above-improved process. However, considering the principle of infrared absorption, the increase in detection sensitivity could reach an ultra-limit. Therefore, the hypothesis of the sensitivity limit of TDLAS is proposed at the end of the paper, through the quantization analysis.

show abstract

“…However, due to the unavailability of commercial laser sources in that region, we selected the C-H stretching bands near 3.3 𝜇m. The wavelength region near 3040 cm -1 has been chosen based on detailed interference analysis in a previous work [7]. Figure 1 shows the simulated absorbance spectra of BTEX species (T = 25 °C, P = 1 atm, L = 30 cm, χ = 1000 ppm) [6] which exhibit similar structure due to the C-H stretching in the aromatic rings of these species.…”

Section: Sensor Descriptionmentioning

confidence: 99%

Selective BTEX Sensing with Laser Absorption and DNNs

Mhanna

Farooq

2021

OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES)

Self Cite

View full text Add to dashboard Cite

show abstract

Cavity-Enhanced Measurements of Benzene for Environmental Monitoring

Abstract: A laser sensor is developed for trace detection of benzene. It is based on a DFB-ICL near 3.3 µm and off-axis cavity-enhanced absorption, enabling minimum detection of 2 ppb for 6-second integration at room conditions.

Cited by 29 publications

References 45 publications

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

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

Improvement of the Detection Sensitivity for Tunable Diode Laser Absorption Spectroscopy: A Review

Selective BTEX Sensing with Laser Absorption and DNNs

Contact Info

Product

Resources

About