Chemiresistors for array-based vapor sensing using composites of carbon black with low volatility organic molecules

Ting Gao, Marc D. Woodka, Bruce S. Brunschwig, Nathan S Lewis

Research output: Contribution to journalArticle

58 Citations (Scopus)

Abstract

Chemically sensitive resistors have been fabricated from composites of carbon black and low volatility, nonpolymeric, organic molecules such as propyl gallate, lauric acid, and dioctyl phthalate. Sorption of organic vapors into the nonconductive phase of such composites produced rapid and reversible changes in the relative differential resistance response of the sensing films. Arrays of these sensors, in which each sensing film was comprised of carbon black and a chemically distinct nonpolymeric organic molecule or blend of organic molecules, produced characteristic response patterns upon exposure to a series of different organic test vapors. The use of nonpolymeric sorption phases allowed fabrication of sensors having a high density of randomly oriented functional groups and provided excellent discrimination between analytes. By comparison to carbon black-polymer composite vapor sensors and sensor arrays, such sensors provided comparable detection limits as well as enhanced clustering and enhanced resolution ability between test analytes.

Original languageEnglish
Pages (from-to)5193-5202
Number of pages10
JournalChemistry of Materials
Volume18
Issue number22
DOIs
Publication statusPublished - Oct 31 2006

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Soot
Carbon black
Vapors
lauric acid
Molecules
Sensors
Composite materials
Sorption
Propyl Gallate
Diethylhexyl Phthalate
Sensor arrays
Resistors
Functional groups
Polymers
Fabrication
Acids

ASJC Scopus subject areas

  • Materials Chemistry
  • Materials Science(all)

Cite this

Chemiresistors for array-based vapor sensing using composites of carbon black with low volatility organic molecules. / Gao, Ting; Woodka, Marc D.; Brunschwig, Bruce S.; Lewis, Nathan S.

In: Chemistry of Materials, Vol. 18, No. 22, 31.10.2006, p. 5193-5202.

Research output: Contribution to journalArticle

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