The implementation of preconcentrator in electronic nose system to identify low concentration of vapors using neural network method

Muhammad Rivai, Eddy Lybrech Talakua

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

9 Citations (Scopus)

Abstract

Vapor identification system having high sensitive and discriminative capabilities is much needed in various applications such as in monitoring of environmental condition, detecting of hazardous substances, and producing of flavored foods or drinks and others. Nowadays, electronic nose technology which consists of gas sensor array and neural network pattern recognition could not recognize well for the low concentration vapors. In this research, the implementation of a preconcentrator was used to increase the vapor concentration allowing the electronic nose system to gain its high sensitivity and selectivity. The experimental result showed that the electronic nose system equipped with the preconcentrator could distinguish ethanol, benzene and acetone vapors in low concentrations successfully.

Original languageEnglish
Title of host publicationProceedings of 2014 International Conference on Information, Communication Technology and System, ICTS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages31-36
Number of pages6
ISBN (Electronic)9781479968572
DOIs
Publication statusPublished - 2014
Event2014 International Conference on Information, Communication Technology and System, ICTS 2014 - Surabaya, Indonesia
Duration: 24 Sept 2014 → …

Publication series

NameProceedings of 2014 International Conference on Information, Communication Technology and System, ICTS 2014

Conference

Conference2014 International Conference on Information, Communication Technology and System, ICTS 2014
Country/TerritoryIndonesia
CitySurabaya
Period24/09/14 → …

Keywords

  • electronic nose
  • preconcentrator
  • selectivity
  • sensitivity

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