title: Advanced vapor recognition materials for selective and fast responsive surface acoustic wave sensors: a review.
abstract: The necessity of selectively detecting various organic vapors is primitive not only with respect to regular environmental and industrial hazard monitoring, but also in detecting explosives to combat terrorism and for defense applications. Today, the huge arsenal of micro-sensors has revolutionized the traditional methods of analysis by, e.g. replacing expensive laboratory equipment, and has made the remote screening of atmospheric threats possible. Surface acoustic wave (SAW) sensors - based on piezoelectric crystal resonators - are extremely sensitive to even very small perturbations in the external atmosphere, because the energy associated with the acoustic waves is confined to the crystal surface. Combined with suitably designed molecular recognition materials SAW devices could develop into highly selective and fast responsive miniaturized sensors, which are capable of continuously monitoring a specific organic gas, preferably in the sub-ppm regime. For this purpose, different types of recognition layers ranging from nanostructured metal oxides and carbons to pristine or molecularly imprinted polymers and self-assembled monolayers have been applied in the past decade. We present a critical review of the recent developments in nano- and micro-engineered synthetic recognition materials predominantly used for SAW-based organic vapor sensors. Besides highlighting their potential to realize real-time vapor sensing, their limitations and future perspectives are also discussed.
authors.affiliation: Institute of Analytical Chemistry and Food Chemistry, University of Vienna, Vienna, Austria. aa@aafzal.com
authors.forename: Adeel
authors.initials: A
authors.lastname: Afzal
authors.forename: Naseer
authors.initials: N
authors.lastname: Iqbal
authors.forename: Adnan
authors.initials: A
authors.lastname: Mujahid
authors.forename: Romana
authors.initials: R
authors.lastname: Schirhagl
keywords: Carbon nanotubes; Molecular recognition; Nanomaterials; Polymers; Surface acoustic wave; Vapor sensors