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Integrating LSPR and SERS for Rapid and Effective Visualization and Identification of Volatile Organic Compounds Distribution

  • Cong Wang
  • , Kumazoe Shingo
  • , Hao Guo
  • , Yao Wang
  • , Fumihiro Sassa
  • , Hayashi Kenshi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2024 IEEE Sensors, SENSORS 2024 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350363517
DOIs
Publication statusPublished - 2024
Event2024 IEEE Sensors, SENSORS 2024 - Kobe, Japan
Duration: Oct 20 2024Oct 23 2024

Publication series

NameProceedings of IEEE Sensors
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229

Conference

Conference2024 IEEE Sensors, SENSORS 2024
Country/TerritoryJapan
CityKobe
Period10/20/2410/23/24

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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