title: Transient signal analysis using complementary metal oxide semiconductor capacitive chemical microsensors.
abstract: This work explores the possibility to discriminate analytes based on their nonequilibrium signals in polymer-coated capacitive chemical microsensors. The analyte uptake in the chemically sensitive polymer layers of 3-7-microm thickness has been analyzed using a diffusion model and the dynamic sensor response data. The shapes of the response profiles have been calculated analytically. Despite the simplifications in the model, the observed transient signal profiles could be described accurately. Comparison of the measured diffusion coefficients (on the order of 10(-12) m2/s) with literature values measured at similar concentration levels showed good agreement. Concentration-independent diffusion coefficients for several analyte/polymer combinations (poly(etherurethane)/all analytes; poly(epichlorohydrin)/alcohols) as well as slightly concentration-dependent diffusion coefficients (poly(epichlorohydrin)/toluene or ethyl cellulose/toluene) have been found in the investigated concentration range of tens to hundreds of pascals gas-phase partial pressure. The diffusion times of water and the first aliphatic monohydric alcohols in the polymers are strongly correlated to their molecular size. The discrimination of these substances based on dynamic sensor data of a single sensor could be demonstrated. In particular, the analysis of mixtures of analytes with similar chemical behavior (water/ethanol or methanol/ethanol) by means of analyzing the response profile of single-exposure steps or by applying a series of decreasingly long alternating target gas exposure and carrier gas exposure steps has been performed.
authors.affiliation: Physical Electronics Laboratory, Eidgenössische Technische Hochschule Zürich, ETH Hoenggerberg, HPT H4.2, Wolfgang-Pauli-Strasse 16, 8093 Zurich, Switzerland.
authors.forename: Adrian M
authors.initials: AM
authors.lastname: Kummer
authors.forename: Thomas P
authors.initials: TP
authors.lastname: Burg
authors.forename: Andreas
authors.initials: A
authors.lastname: Hierlemann