title: Independent component analysis of nanomechanical responses of cantilever arrays.
abstract: 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 devices.
authors: Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA. archibaldrk@ornl.gov <archibaldrk@ornl.gov>
authors: Rick
authors: R
authors: Archibald
authors: Panos
authors: P
authors: Datskos
authors: Gerald
authors: G
authors: Devault
authors: Vincent
authors: V
authors: Lamberti
authors: Nickolay
authors: N
authors: Lavrik
authors: Don
authors: D
authors: Noid
authors: Michael
authors: M
authors: Sepaniak
authors: Pampa
authors: P
authors: Dutta
mesh_terms: D004563:Electrochemistry / Q000295:instrumentation / Q000379:methods; D008832:Microchemistry / Q000379:methods; D015336:Molecular Probe Techniques; D036103:Nanotechnology / Q000379:methods*; D009415:Nerve Net