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In Situ Interfacial Mass Detection with Piezoelectric Transducers

Ward, Michael D., Buttry, Daniel A.·1990·Science

Abstract

The converse piezoelectric effect, in which an electric field applied across a piezoelectric material induces a stress in that material, has spurred many recent developments in mass measurement techniques. These methods commonly rely on the changes in the vibrational resonant frequency of piezoelectric quartz oscillators that result from changes in mass on the surface of the oscillator. The dependence of frequency on mass has been exploited extensively for mass measurements in vacuum or gas phase, for example, thickness monitors for thin-film preparation and sensors for chemical agents. Advances in piezoelectric methodology in the last decade now allow dynamic measurements of minute mass changes (< 10 -9 grams per square centimeter) at surfaces, thin films, and electrode interfaces in liquid media as well. Mass measurements associated with a diverse collection of interfacial processes can be readily performed, including chemical and biological sensors, reactions catalyzed by enzymes immobilized on surfaces, electron transfer at and ion exchange in thin polymer films, and doping reactions of conducting polymers.

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Metadata

Authors
Ward, M. D., & Buttry, D. A.
Venue
Science
Published
1990-08-31
Volume
249
Issue
4972
Pages
1000-1007
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2042537980
Cited by
525
References
0
FWCI
18.10
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: In Situ Interfacial Mass Detection with Piezoelectric Transducers. https://app.cochat.ai/papers/10.1126/science.249.4972.1000
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Ward, M. D., & Buttry, D. A. (1990). In Situ Interfacial Mass Detection with Piezoelectric Transducers. Science. https://doi.org/10.1126/science.249.4972.1000

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.