Abstract

Ion-channel sensors can be used for detecting small metal ions and organic molecules. The sensor consists of a chamber with a lipid bilayer hosting ion channels produced by protein insertion. These channels allow selective transport and produce a characteristic signal across the chamber for each analyte. A four chamber ion channel sensor array is built for accurate analyte detection. In this paper, we address the case in which non-uniform number of channels formed in each chamber. The power distribution information in the transform domain is used as features for each chamber signal. We employ support vector regression to estimate the number of channels inserted in each chamber and normalize the chamber signal features. The change observed in the normalized features of the chamber containing the analyte with respect to other chambers is used for detection. Results show high accuracy rates for detection of analyte using simulated data and experimental data.

Original languageEnglish (US)
Title of host publication17th DSP 2011 International Conference on Digital Signal Processing, Proceedings
DOIs
StatePublished - Sep 29 2011
Event17th International Conference on Digital Signal Processing, DSP 2011 - Corfu, Greece
Duration: Jul 6 2011Jul 8 2011

Publication series

Name17th DSP 2011 International Conference on Digital Signal Processing, Proceedings

Other

Other17th International Conference on Digital Signal Processing, DSP 2011
CountryGreece
CityCorfu
Period7/6/117/8/11

Keywords

  • Ion-channel
  • Support Vector Regression
  • Wavelet kernel

ASJC Scopus subject areas

  • Signal Processing

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  • Cite this

    Sattigeri, P. S., Ramamurthy, K. N., Thiagarajan, J. J., Goryll, M., Spanias, A., & Thornton, T. (2011). Analyte detection using an ion-channel sensor array. In 17th DSP 2011 International Conference on Digital Signal Processing, Proceedings [6004913] (17th DSP 2011 International Conference on Digital Signal Processing, Proceedings). https://doi.org/10.1109/ICDSP.2011.6004913