On predicting responses to mixtures in quartz microbalance sensors

Liran Carmel*, Noa Sever, David Harel

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

A fundamental question in studying odor patterns in electronic noses is how to estimate the response to a mixture, given the response curves of the pure chemicals. We study this question by proposing two mixture-predicting models, and verify them against real data collected using quartz microbalance sensors. We find that a simple additive law explains fairly well the measured response patterns of binary mixtures, but that a slightly more complicated mixing model is required in order to produce good estimations of the response patterns of mixtures that are comprised of more than two compounds.

Original languageAmerican English
Pages (from-to)128-135
Number of pages8
JournalSensors and Actuators, B: Chemical
Volume106
Issue number1 SPEC. ISS.
DOIs
StatePublished - 29 Apr 2005
Externally publishedYes

Keywords

  • Electronic noses
  • Law of mixing
  • Mixing model
  • Mixtures
  • Quartz microbalance sensors
  • Response prediction

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