Detection of presence of chemical precursors

Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Chemical analysis

Reexamination Certificate

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C422S083000, C977S953000, C977S957000

Reexamination Certificate

active

07623972

ABSTRACT:
Methods and systems for determining if one or more target molecules are present in a gas, by exposing a functionalized carbon nanostructure (CNS) to the gas and measuring an electrical parameter value EPV(n) associated with each of N CNS sub-arrays. In a first embodiment, a most-probable concentration value C(opt) is estimated, and an error value, depending upon differences between the measured values EPV(n) and corresponding values EPV(n;C(opt)) is computed. If the error value is less than a first error threshold value, the system interprets this as indicating that the target molecule is present in a concentration C≈C(opt). A second embodiment uses extensive statistical and vector space analysis to estimate target molecule concentration.

REFERENCES:
patent: 6289328 (2001-09-01), Shaffer
patent: 6528020 (2003-03-01), Dai et al.
patent: 6537498 (2003-03-01), Lewis et al.
patent: 7312095 (2007-12-01), Gabriel et al.
patent: 7318908 (2008-01-01), Dai
patent: 2003/0175161 (2003-09-01), Gabriel et al.
patent: 2005/0126913 (2005-06-01), Burke et al.
patent: 2005/0169798 (2005-08-01), Bradley et al.
Li, et al., Nano Chemical Sensors With Polymer-Coated Carbon Nanotubes, IEEE Sensors Journal, Oct. 5, 2006, 1047-1051, 6-5, IEEE.
Lu, et al., Room temperature methane detection using palladium loaded single-walled carbon nanotube sensors, Chemical Physics Letters, 2004, 344-348, 391, Elsevier B.V.
Lu, et al., A carbon nanotube sensor array for sensitive gas discrimination using principal component analysis, Journal of Electroanalytical Chemistry, 2006, 105-110, 593, Elsevier B.V.
Matthews, et al., Effects of Electrode Configuration on Polymer Carbon-Black Composite Chemical Vapor Sensor Performance, IEEE Sensors Journal, Jun. 2002, 160-168, 2-3, IEEE.
Young, et al., High-Sensitivity NO2 Detection with Carbon Nanotube—Gold Nanoparticle Composite Films, Journal of Nanoscience and Nanotechnology, 2005, 1509-1513, 5, American Scientific Publishers, USA.
Li, et al., Carbon Nanotube Sensors for Gas and Organic Vapor Detection, Nano Letters, 2003, 929-933, 3-7.
Li, et al., A Gas Sensor Array Using Carbon Nanotubes and Microfabricatio . . . , Electrochemical and Solid-State Letters, 2005, H100-H102, 8, The Electrochemical Society, Inc.
Applicant's response to an Office Action in related, U.S. Appl. No. 11/178,079, filed Jul. 8, 2005, Office Action mailed Oct. 29, 2008.
Final Rejection in related case, mailing date May 28, 2009, U.S. Appl. No. 11/178,079, Filing date: Jul. 8, 2005.
First Office Action in related case, mailing date May 29, 2009, U.S. Appl. No. 11/489,803, Application filing date: Jul. 12, 2006.
Calusdian, et al., Design and Testing of a Wireless Portable Carbon Nanotube-Based Chemical Sensor System, Sixth IEEE Conference on Nanotechnology, Jun. 17-20, 2006, 794-797.
First Office Action in related case, mailed Sep. 4, 2009, U.S. Appl. No. 11/416,505, filed Apr. 28, 2006.
Shaffer, et al., A comparison study of chemical sensor array pattern recognition algorithms, Analytica Chimica Acta 384, 1999, 305-317, Elsevier.

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