Independent Component Analysis of Nanomechanical Responses of Cantilever Arrays

Journal Article · Mon Jan 01 04:00:00 EST 2007 · Analytica Chimica Acta

DOI:https://doi.org/10.1016/j.aca.2006.11.007· OSTI ID:930900

Archibald, Richard K ^[1]; Datskos, Panos G ^[1]; Noid, Don W ^[1]; Lavrik, Nickolay V ^[1]

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1. ORNL

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 ambition. 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 determine the identities and concentrations of the components of chemical mixtures. 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.

• Research Organization: Oak Ridge National Laboratory (ORNL); Center for Computational Sciences
• Sponsoring Organization: SC USDOE - Office of Science (SC)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 930900
• Journal Information: Analytica Chimica Acta, Journal Name: Analytica Chimica Acta Journal Issue: 1 Vol. 584; ISSN ACACAM; ISSN 0003-2670
• Country of Publication: United States
• Language: English

Related Subjects

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
77 NANOSCIENCE AND NANOTECHNOLOGY
CHEMICAL ANALYSIS
DATA ANALYSIS
NANOSTRUCTURES
NEURAL NETWORKS
SENSORS