TY - GEN
T1 - Industrial Gases Identification Using Graphene-based Gas Sensors
T2 - 2022 IEEE International Symposium on Olfaction and Electronic Nose, ISOEN 2022
AU - Huang, Shirong
AU - Croy, Alexander
AU - Panes-Ruiz, Luis Antonio
AU - Khavrus, Vyacheslav
AU - Ibarlucea, Bergoi
AU - Cuniberti, Gianaurelio
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Both ammonia (NH3) and phosphine (PH3) play a significant role in an extensive range of industrial processes, while they are harmful to human health even at very low concentration. So far, a variety of gas sensors have been developed to detect them in an industrial environment aimed to protect the health of workers at their work place. Among various types of gas sensors, chemiresistive type gas sensors have attracted considerable interest due to its characteristics, such as simple fabrication, high sensitivity, high reliability, etc. Nevertheless, there are still some limitations, such as, high power consumption resulted from high operating temperatures, and most sensors are solely dedicated to an individual gas monitoring. In this work, we present the development of highly sensitive and highly discriminative graphene-based gas sensors for gas detection and identification at room temperature. Graphene is exfoliated by a liquid phase approach and functionalized by copper phthalocyanine derivate (CuPc). Leveraging machine learning techniques, graphene-based gas sensors demonstrate an excellent gas identification performance towards NH3 and PH3 at an ultralow concentration (ppb level). This work could pave the path to design highly sensitive and smart gas sensors for a wide range of gases.
AB - Both ammonia (NH3) and phosphine (PH3) play a significant role in an extensive range of industrial processes, while they are harmful to human health even at very low concentration. So far, a variety of gas sensors have been developed to detect them in an industrial environment aimed to protect the health of workers at their work place. Among various types of gas sensors, chemiresistive type gas sensors have attracted considerable interest due to its characteristics, such as simple fabrication, high sensitivity, high reliability, etc. Nevertheless, there are still some limitations, such as, high power consumption resulted from high operating temperatures, and most sensors are solely dedicated to an individual gas monitoring. In this work, we present the development of highly sensitive and highly discriminative graphene-based gas sensors for gas detection and identification at room temperature. Graphene is exfoliated by a liquid phase approach and functionalized by copper phthalocyanine derivate (CuPc). Leveraging machine learning techniques, graphene-based gas sensors demonstrate an excellent gas identification performance towards NH3 and PH3 at an ultralow concentration (ppb level). This work could pave the path to design highly sensitive and smart gas sensors for a wide range of gases.
KW - Smart gas sensors
KW - ammonia
KW - gas identification
KW - phosphine
UR - https://www.scopus.com/pages/publications/85133206500
U2 - 10.1109/ISOEN54820.2022.9789653
DO - 10.1109/ISOEN54820.2022.9789653
M3 - Conference contribution
AN - SCOPUS:85133206500
T3 - International Symposium on Olfaction and Electronic Nose, ISOEN 2022 - Proceedings
BT - International Symposium on Olfaction and Electronic Nose, ISOEN 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 29 May 2022 through 1 June 2022
ER -