TY - JOUR
T1 - Recent advances in technologies toward the development of 2D materials-based electronic noses
AU - Parichenko, Alexandra
AU - Huang, Shirong
AU - Pang, Jinbo
AU - Ibarlucea, Bergoi
AU - Cuniberti, Gianaurelio
N1 - Publisher Copyright:
© 2023 The Authors
PY - 2023/9
Y1 - 2023/9
N2 - Inspired by biological noses, their electronic counterparts i.e. e-noses are designed to imitate them by detecting and identifying surrounding gases and volatile compounds through the use of gas sensor arrays. These arrays are typically composed of metal oxide sensors, which are limited by energy efficiency and sensitivity issues. However, the use of two-dimensional materials as active elements has shown promising results addressing these hurdles due to their remarkable sensitivity at room temperature. Since the revolutionary discovery of graphene and the synthesis or exfoliation of a myriad of nanosheets, these have been integrated into high performance gas sensors for e-noses. In this review, we highlight the significant advancements and technologies in developing these devices, including the transduction mechanisms used to translate gas adsorption events into measurable signals and the methods for depositing 2D materials as part of the transducers. To overcome the issue of selectivity that often imposes a limitation to nanomaterial-based gas sensors, we discuss the potential of implementing artificial intelligence tools as the brain behind the sensor for smart data analysis.
AB - Inspired by biological noses, their electronic counterparts i.e. e-noses are designed to imitate them by detecting and identifying surrounding gases and volatile compounds through the use of gas sensor arrays. These arrays are typically composed of metal oxide sensors, which are limited by energy efficiency and sensitivity issues. However, the use of two-dimensional materials as active elements has shown promising results addressing these hurdles due to their remarkable sensitivity at room temperature. Since the revolutionary discovery of graphene and the synthesis or exfoliation of a myriad of nanosheets, these have been integrated into high performance gas sensors for e-noses. In this review, we highlight the significant advancements and technologies in developing these devices, including the transduction mechanisms used to translate gas adsorption events into measurable signals and the methods for depositing 2D materials as part of the transducers. To overcome the issue of selectivity that often imposes a limitation to nanomaterial-based gas sensors, we discuss the potential of implementing artificial intelligence tools as the brain behind the sensor for smart data analysis.
KW - 2D materials
KW - Artificial intelligence
KW - Electronic nose
KW - Gas sensor
KW - Machine learning
UR - https://www.scopus.com/pages/publications/85164218867
U2 - 10.1016/j.trac.2023.117185
DO - 10.1016/j.trac.2023.117185
M3 - Review article
AN - SCOPUS:85164218867
SN - 0165-9936
VL - 166
JO - TrAC - Trends in Analytical Chemistry
JF - TrAC - Trends in Analytical Chemistry
M1 - 117185
ER -