Analyte detection using an ion-channel sensor array
- Resource Type
- Conference
- Authors
- Sattigeri, P. S.; Ramamurthy, K. N.; Thiagarajan, J. J.; Goryll, M.; Spanias, A.; Thornton, T.
- Source
- 2011 17th International Conference on Digital Signal Processing (DSP) Digital Signal Processing (DSP), 2011 17th International Conference on. :1-6 Jul, 2011
- Subject
- Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Computing and Processing
Channel estimation
Lipidomics
Markov processes
Switches
Analytical models
Kernel
Feature extraction
Ion-channel
Wavelet kernel
Support Vector Regression
- Language
- ISSN
- 1546-1874
2165-3577
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.