Learning to see VOCs with Liquid Crystal Droplets

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In hybrid gels with immobilized liquid crystal (LC) droplets, fast and unique optical texture variations are generated when distinct volatile organic compounds (VOCs) interact with the LC and disturb its molecular order. The optical texture variations can be observed under a polarized optical microscope or transduced into a signal representing the variations of light transmitted through the LC. We show how hybrid gels can accurately identify 11 distinct VOCs by using deep learning to analyze optical texture variations of individual droplets (0.93 average F1-score) and by using machine learning to analyze 1D optical signals from multiple droplets in hybrid gels (0.88 average F1-score).
Original languageEnglish
Title of host publication2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
ISBN (Electronic)978-1-6654-5860-3
ISBN (Print)978-1-6654-5861-0
DOIs
Publication statusPublished - 29 May 2022
Event2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) - Aveiro, Portugal
Duration: 29 May 20221 Jun 2022

Conference

Conference2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)
Period29/05/221/06/22

Keywords

  • Liquid crystal
  • Hybrid Gels
  • Image recognition
  • Optical sensing

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