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Analytica Chimica Acta 584 (2007) 101105 Independent component analysis of nanomechanical

Summary: Analytica Chimica Acta 584 (2007) 101105
Independent component analysis of nanomechanical
responses of cantilever arrays
Rick Archibalda,, Panos Datskosa, Gerald Devaulta, Vincent Lambertib,
Nickolay Lavrika,c, Don Noida, Michael Sepaniakc, Pampa Duttac
a Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
b Y-12 National Security Complex, Oak Ridge, TN 37831, USA
c University of Tennessee, Knoxville, TN 37996, USA
Received 21 July 2006; received in revised form 23 October 2006; accepted 2 November 2006
Available online 11 November 2006
The ability to detect and identify chemical and biological elements in air or liquid environments is of far reaching importance. Performing
this task using technology that minimally impacts the perceived environment is the ultimate goal. The development of functionalized cantilever
arrays with nanomechanical sensing is an important step towards this goal. This report couples the feature extraction abilities of independent
component analysis (ICA) and the classification techniques of neural networks to analyze the signals produced by microcantilever-array-based
nanomechanical sensors. The unique capabilities of this analysis unleash the potential of this sensing technology to accurately identify chemical
mixtures and concentrations. Furthermore, it is demonstrated that the knowledge of how the sensor array reacts to individual analytes in isolation
is sufficient information to decode mixtures of analytes--a substantial benefit, significantly increasing the analytical utility of these sensing
2006 Elsevier B.V. All rights reserved.


Source: Archibald, Richard - Computer Science and Mathematics Division, Oak Ridge National Laboratory


Collections: Computer Technologies and Information Sciences