TY - GEN
T1 - Estimation of Distributed Concentration of Mixed Gases Using Au/Ag Core-Shell 2D LSPR Gas Sensor
AU - Sawada, Arata
AU - Sassa, Fumihiro
AU - Hayashi, Kenshi
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - A two-dimensional gas sensor with distributed response characteristics was fabricated by depositing silver in a pattern on an AuNPs substrate, and a method to estimate multiple mixed gas concentrations using the fabricated substrate was proposed. We also proposed a method to estimate multiple gas concentrations using the fabricated substrates with linear analysis. The gas concentrations were calculated using the different response characteristics distributed on the fabricated Au/AgNPs LSPR (Localized Surface Plasmon Resonance) 2D gas sensor elements having sub-pixel patterns adjusted by image analysis. Linear regression analysis was employed to successfully estimate the gas concentration. This sensor device is expected to be applied to gas image sensors that can visualize odor and gas distribution.
AB - A two-dimensional gas sensor with distributed response characteristics was fabricated by depositing silver in a pattern on an AuNPs substrate, and a method to estimate multiple mixed gas concentrations using the fabricated substrate was proposed. We also proposed a method to estimate multiple gas concentrations using the fabricated substrates with linear analysis. The gas concentrations were calculated using the different response characteristics distributed on the fabricated Au/AgNPs LSPR (Localized Surface Plasmon Resonance) 2D gas sensor elements having sub-pixel patterns adjusted by image analysis. Linear regression analysis was employed to successfully estimate the gas concentration. This sensor device is expected to be applied to gas image sensors that can visualize odor and gas distribution.
UR - http://www.scopus.com/inward/record.url?scp=85123576993&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85123576993&partnerID=8YFLogxK
U2 - 10.1109/SENSORS47087.2021.9639593
DO - 10.1109/SENSORS47087.2021.9639593
M3 - Conference contribution
AN - SCOPUS:85123576993
T3 - Proceedings of IEEE Sensors
BT - 2021 IEEE Sensors, SENSORS 2021 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE Sensors, SENSORS 2021
Y2 - 31 October 2021 through 4 November 2021
ER -