SAW arrays using dendrimers and pattern recognition to detect volatile organics Metadata

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Title

  • Main Title SAW arrays using dendrimers and pattern recognition to detect volatile organics

Creator

  • Author: Ricco, A.J.
    Creator Type: Personal
  • Author: Osbourn, G.C.
    Creator Type: Personal
  • Author: Bartholomew, J.W.
    Creator Type: Personal
  • Author: Martinez, R.F.
    Creator Type: Personal
    Creator Info: Sandia National Labs., Albuquerque, NM (United States)
  • Author: Crooks, R.M.
    Creator Type: Personal
  • Author: Garcia, M.E.
    Creator Type: Personal
  • Author: Peez, R.
    Creator Type: Personal
    Creator Info: Texas A and M Univ., College Station, TX (United States). Dept. of Chemistry
  • Author: Spindler, R.
    Creator Type: Personal
    Creator Info: Michigan Molecular Inst., Midland, MI (United States)
  • Author: Kaiser, M.E.
    Creator Type: Personal
    Creator Info: Dendritech, Inc., Midland, MI (United States)

Contributor

  • Sponsor: United States. Department of Energy.
    Contributor Type: Organization
    Contributor Info: USDOE, Washington, DC (United States)

Publisher

  • Name: Sandia National Laboratories
    Place of Publication: Albuquerque, New Mexico
    Additional Info: Sandia National Labs., Albuquerque, NM (United States)

Date

  • Creation: 1998-08-01

Language

  • English

Description

  • Content Description: chemical sensor arrays eliminate the need to develop a high-selectivity material for every analyte. The application of pattern recognition to the simultaneous responses of different microsensors enables the identification and quantification of multiple analytes with a small array. Maximum materials diversity is the surest means to create an effective array for many analytes, but using a single material family simplifies coating development. Here the authors report the successful combination of an array of six dendrimer films with mass-sensitive SAW (surface acoustic wave) sensors to correctly identify 18 organic analytes over wide concentration ranges, with 99.5% accuracy. The set of materials for the array is selected and the results evaluated using Sandia`s Visual-Empirical Region of Influence (VERI) pattern recognition (PR) technique. The authors evaluated eight dendrimer films and one self-assembled monolayer (SAM) as potential SAW array coatings. The 18 organic analytes they examined were: cyclohexane, n-hexane, i-octane, kerosene, benzene, toluene, chlorobenzene, carbon tetrachloride, trichloroethylene, methanol, n-propanol, pinacolyl alcohol, acetone, methyl isobutyl ketone, dimethylmethylphosphate, diisopropylmethylphosphonate, tributylphosphate, and water.
  • Physical Description: 1 p.

Subject

  • Keyword: Sound Waves
  • Keyword: Organic Compounds
  • Keyword: Materials Testing
  • Keyword: Measuring Instruments
  • Keyword: Pattern Recognition
  • STI Subject Categories: 54 Environmental Sciences
  • STI Subject Categories: 40 Chemistry
  • Keyword: Coatings
  • Keyword: Air Pollution Monitoring
  • Keyword: Performance

Source

  • Conference: 194. meeting of the Electrochemical Society, Boston, MA (United States), 1-6 Nov 1998

Collection

  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI

Institution

  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Article

Format

  • Text

Identifier

  • Other: DE98007222
  • Report No.: SAND--98-1679C
  • Report No.: CONF-981108--
  • Grant Number: AC04-94AL85000
  • Office of Scientific & Technical Information Report Number: 674600
  • Archival Resource Key: ark:/67531/metadc701959

Note

  • Display Note: OSTI as DE98007222