Characterization of a Wake-Up Nano-Gap Gas Sensor for Ultra Low Power Operation
- Authors
- Khan, Shakir-ul Haque; Banerjee, Aishwaryadev; Broadbent, Samuel; Noh, Seungbeom; Kim, Kyeong Heon; Bulbul, Ashrafuzzaman; Looper, Ryan E.; Mastrangelo, Carlos H.; Kim, Hanseup
- Issue Date
- Oct-2022
- Publisher
- Institute of Electrical and Electronics Engineers
- Keywords
- Wake-up; nano-gap; gas sensor; molecular bridging; ultra-low-power
- Citation
- Journal of Microelectromechanical Systems, v.31, no.5, pp 791 - 801
- Pages
- 11
- Indexed
- SCIE
SCOPUS
- Journal Title
- Journal of Microelectromechanical Systems
- Volume
- 31
- Number
- 5
- Start Page
- 791
- End Page
- 801
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/845
- DOI
- 10.1109/JMEMS.2022.3189926
- ISSN
- 1057-7157
1941-0158
- Abstract
- This paper reports the performance characterization of a wake-up nano-gap gas sensor with ultra-high-sensitivity due to its dependence on the electron tunneling distance that was experimentally modulated by a structural nano-gap, a chemistry linker length and a molecular size of target gases. The wake-up sensor became activated when the nano-gap was bridged for electron flow by the capture of specific target gas molecules. The fabricated nano-gap sensor demonstrated highly sensitive and selective responses to the dimensional variations in the gaps, the linkers and the target VOCs: (1) only 5-angstrom difference in either the nano-gap distance or the linker length produced the output signal ratios of two to five orders in magnitudes, indicating ultra-highly-sensitive characteristics; (2) only two carbon length difference of 2.3-angstrom between target gases with the identical functional group resulted in the output signal ratios of up to four orders in magnitudes, implying the unique distinguish capability of molecular- level length differences, and (3) the selectivity against 7 major interference gas groups in high concentrations (>1,000 ppm) was measured as at least by four orders in magnitude indicating the benefits of size-matching in gas detection on top of conventional chemistry-matching. The fabricated nanogap gas sensor ultimately showed ultra-low power consumption of 20.08 pW during the sleep mode and repeatability of >10 cycles. These results indicated that the nano-gap sensor can be a highly sensitive and selective alternative in gas sensing especially in resource-limited environments.
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