TY - GEN
T1 - Integrating LSPR and SERS for Rapid and Effective Visualization and Identification of Volatile Organic Compounds Distribution
AU - Wang, Cong
AU - Shingo, Kumazoe
AU - Guo, Hao
AU - Wang, Yao
AU - Sassa, Fumihiro
AU - Kenshi, Hayashi
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Microbial volatile organic compounds (MVOCs) can serve as a diagnostic tool for assessing the respiratory status of microorganisms. Localized surface plasmon resonance (LSPR) sensors are noted for their rapid response and straightforward operation; however, they often struggle to provide specific information about the detected substances and to differentiate between gas types. In contrast, gas sensors utilizing surface-enhanced Raman spectroscopy (SERS) technology offer excellent selectivity and can generate unique 'fingerprint' signals, enabling easy identification and distinction of various gas molecules. Integrating these two technologies promises to enhance the visualization of volatile organic compound distributions both more effectively and expeditiously.
AB - Microbial volatile organic compounds (MVOCs) can serve as a diagnostic tool for assessing the respiratory status of microorganisms. Localized surface plasmon resonance (LSPR) sensors are noted for their rapid response and straightforward operation; however, they often struggle to provide specific information about the detected substances and to differentiate between gas types. In contrast, gas sensors utilizing surface-enhanced Raman spectroscopy (SERS) technology offer excellent selectivity and can generate unique 'fingerprint' signals, enabling easy identification and distinction of various gas molecules. Integrating these two technologies promises to enhance the visualization of volatile organic compound distributions both more effectively and expeditiously.
KW - localized surface plasmon resonance
KW - odor spatial distribution visualization
KW - surface-enhanced Raman spectroscopy
UR - https://www.scopus.com/pages/publications/85215271278
UR - https://www.scopus.com/pages/publications/85215271278#tab=citedBy
U2 - 10.1109/SENSORS60989.2024.10785178
DO - 10.1109/SENSORS60989.2024.10785178
M3 - Conference contribution
AN - SCOPUS:85215271278
T3 - Proceedings of IEEE Sensors
BT - 2024 IEEE Sensors, SENSORS 2024 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Sensors, SENSORS 2024
Y2 - 20 October 2024 through 23 October 2024
ER -