Impact of Lateral SnO<sub>2</sub> Nanofilm Channel Geometry on a 1024 Crossbar Chemical Sensor Array
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- Haruka Honda
- Department of Applied Chemistry, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, Japan
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- Tsunaki Takahashi
- Department of Applied Chemistry, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, Japan
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- Yohsuke Shiiki
- Department of Electronics and Electrical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku, Yokohama, Kanagawa 223-8522, Japan
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- Hao Zeng
- Department of Applied Chemistry, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, Japan
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- Kentaro Nakamura
- Department of Applied Chemistry, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, Japan
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- Shintaro Nagata
- Department of Applied Chemistry, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, Japan
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- Takuro Hosomi
- Department of Applied Chemistry, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, Japan
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- Wataru Tanaka
- Department of Applied Chemistry, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, Japan
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- Guozhu Zhang
- Department of Applied Chemistry, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, Japan
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- Masaki Kanai
- Institute for Materials Chemistry and Engineering, Kyushu University, 6-1 Kasuga-Koen, Kasuga, Fukuoka 816-8580, Japan
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- Kazuki Nagashima
- Department of Applied Chemistry, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, Japan
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- Hiroki Ishikuro
- Department of Electronics and Electrical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku, Yokohama, Kanagawa 223-8522, Japan
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- Takeshi Yanagida
- Department of Applied Chemistry, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-8656, Japan
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説明
We propose a rational strategy to fabricate thermally robust, highly integrated molecular and gas sensors utilizing a lateral SnO 2 nanofilm channel geometry on a 1024 crossbar sensor array. The proposed lateral channel geometry substantially suppresses the detrimental effects of parasitic interconnect wire resistances compared with those of a conventional vertical sandwich-type crossbar array because of its excellent resistance controllability. A conductive oxide top-contact electrode on the lateral SnO 2 nanofilm channel enhances the thermal stability at temperatures of up to 500 °C in ambient air. Integrating this lateral SnO 2 nanofilm geometry with analog circuits enables the operation of a 1024 crossbar sensor array without selector devices to avoid sneak currents. The developed 1024 crossbar sensor array system detects the local spatial distribution of the molecular gas concentration. The spatial data of molecular concentrations include molecule-specific data to distinguish various volatile molecules based on their vapor pressures. Thus, this integrated crossbar sensor array system using lateral nanofilm geometry offers a platform for robust, reliable, highly integrated molecular and gas sensors.
収録刊行物
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- ACS Sensors
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ACS Sensors 7 (2), 460-468, 2022-01-23
American Chemical Society (ACS)
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キーワード
- Chemical Sciences not elsewhere classified
- molecular gas concentration
- fabricate thermally robust
- 500 ° c
- Biophysics
- highly integrated molecular
- conventional vertical sandwich
- conductive oxide top
- detrimental effects
- Biochemistry
- contact electrode
- thermal stability
- lateral sno
- Space Science
- gas sensors utilizing
- Virology
- spatial data
- nanofilm channel geometry
- Molecular Biology
- vapor pressures
- rational strategy
- analog circuits enables
- specific data
- Computational Biology
- Cell Biology
- type crossbar array
- 620
- Infectious Diseases
- gas sensors
- nanofilm channel enhances
- 2 </ sub
- ambient air
- nanofilm geometry
- excellent resistance controllability
- avoid sneak currents
- Neuroscience
- Biotechnology
- local spatial distribution
詳細情報 詳細情報について
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- CRID
- 1360857593815870720
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- ISSN
- 23793694
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- 資料種別
- journal article
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- データソース種別
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- Crossref
- KAKEN
- OpenAIRE