skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

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 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.

Authors:
 [1];  [1];  [1];  [1]
  1. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Center for Computational Sciences
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
930900
DOE Contract Number:
DE-AC05-00OR22725
Resource Type:
Journal Article
Resource Relation:
Journal Name: Analytica Chimica Acta; Journal Volume: 584; Journal Issue: 1
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY; 77 NANOSCIENCE AND NANOTECHNOLOGY; NEURAL NETWORKS; NANOSTRUCTURES; SENSORS; DATA ANALYSIS; CHEMICAL ANALYSIS

Citation Formats

Archibald, Richard K, Datskos, Panos G, Noid, Don W, and Lavrik, Nickolay V. Independent Component Analysis of Nanomechanical Responses of Cantilever Arrays. United States: N. p., 2007. Web. doi:10.1016/j.aca.2006.11.007.
Archibald, Richard K, Datskos, Panos G, Noid, Don W, & Lavrik, Nickolay V. Independent Component Analysis of Nanomechanical Responses of Cantilever Arrays. United States. doi:10.1016/j.aca.2006.11.007.
Archibald, Richard K, Datskos, Panos G, Noid, Don W, and Lavrik, Nickolay V. Mon . "Independent Component Analysis of Nanomechanical Responses of Cantilever Arrays". United States. doi:10.1016/j.aca.2006.11.007.
@article{osti_930900,
title = {Independent Component Analysis of Nanomechanical Responses of Cantilever Arrays},
author = {Archibald, Richard K and Datskos, Panos G and Noid, Don W and Lavrik, Nickolay V},
abstractNote = {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.},
doi = {10.1016/j.aca.2006.11.007},
journal = {Analytica Chimica Acta},
number = 1,
volume = 584,
place = {United States},
year = {Mon Jan 01 00:00:00 EST 2007},
month = {Mon Jan 01 00:00:00 EST 2007}
}