TY - JOUR
T1 - Cavity-Enhanced Measurements of Benzene for Environmental Monitoring
AU - Mhanna, Mhanna
AU - Zhang, Guangle
AU - Kunnummal, Noushad
AU - Farooq, Aamir
N1 - KAUST Repository Item: Exported on 2021-11-24
Acknowledgements: This work was funded by the Environmental Protection Department (EPD) of Saudi Aramco (RGC/3/3202-01-01).
PY - 2020/9/25
Y1 - 2020/9/25
N2 - A mid-infrared laser-based sensor is designed and demonstrated for trace detection of benzene at ambient conditions. The sensor is based on a distributed feedback inter-band cascade laser operating near 3.3 μm and off-axis cavity-enhanced absorption spectroscopy. A multidimensional linear regression algorithm was applied to enable benzene measurements in the presence of interfering species, such as ethylene, methane and water vapor. A minimum detection limit of 2 ppb was achieved for benzene at an integration time of 6 seconds; the detection limit reduces to 200 ppt in dry conditions. A cross-sensitivity analysis was performed to study the effect of interfering species on benzene measurements. The sensor can be used to detect tiny leaks of benzene in petrochemical facilities and to monitor air quality in residential and industrial areas. The sensor performance was demonstrated by measuring air samples collected from various locations such as a petrol station, parking garage and ambient air.
AB - A mid-infrared laser-based sensor is designed and demonstrated for trace detection of benzene at ambient conditions. The sensor is based on a distributed feedback inter-band cascade laser operating near 3.3 μm and off-axis cavity-enhanced absorption spectroscopy. A multidimensional linear regression algorithm was applied to enable benzene measurements in the presence of interfering species, such as ethylene, methane and water vapor. A minimum detection limit of 2 ppb was achieved for benzene at an integration time of 6 seconds; the detection limit reduces to 200 ppt in dry conditions. A cross-sensitivity analysis was performed to study the effect of interfering species on benzene measurements. The sensor can be used to detect tiny leaks of benzene in petrochemical facilities and to monitor air quality in residential and industrial areas. The sensor performance was demonstrated by measuring air samples collected from various locations such as a petrol station, parking garage and ambient air.
UR - http://hdl.handle.net/10754/665296
UR - https://ieeexplore.ieee.org/document/9206043/
UR - http://www.scopus.com/inward/record.url?scp=85099396140&partnerID=8YFLogxK
U2 - 10.1109/JSEN.2020.3026981
DO - 10.1109/JSEN.2020.3026981
M3 - Article
SN - 2379-9153
VL - 21
SP - 1
EP - 1
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 3
ER -