Explosive trace detection with FBAR-based sensor

Anderson Lin, Hongyu Yu, Michael S. Waters, Eun Sok Kim, Steven D. Goodman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations

Abstract

This paper describes explosive trace detection through mass sensing with film bulk acoustic resonator (FBAR) coated with antibodies. Mass sensing for a specific explosive is done with the use of antibody made specifically for the targeted explosive. Antibodies were immobilized on the backside of FBAR mass sensors using an antibody immobilization protocol. When the specific explosive is exposed to the sensor, it binds to the antibody on the sensor, causing a shift in the resonant frequency of the FBAR sensor. This sensing technique has been shown to selectively detect vapor traces of TNT (Trinitrotoluene, a common explosive) and RDX (Cyclotrimethylenetrinitramine which has one of the lowest vapor pressures among various explosives) without any pre-concentrator.

Original languageEnglish (US)
Title of host publicationMEMS 2008 Tucson - 21st IEEE International Conference on Micro Electro Mechanical Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages208-211
Number of pages4
ISBN (Print)9781424417933
DOIs
StatePublished - Jan 1 2008
Event21st IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2008 Tucson - Tucson, AZ, United States
Duration: Jan 13 2008Jan 17 2008

Publication series

NameProceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)
ISSN (Print)1084-6999

Other

Other21st IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2008 Tucson
CountryUnited States
CityTucson, AZ
Period1/13/081/17/08

    Fingerprint

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Mechanical Engineering
  • Electrical and Electronic Engineering

Cite this

Lin, A., Yu, H., Waters, M. S., Kim, E. S., & Goodman, S. D. (2008). Explosive trace detection with FBAR-based sensor. In MEMS 2008 Tucson - 21st IEEE International Conference on Micro Electro Mechanical Systems (pp. 208-211). [4443629] (Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MEMSYS.2008.4443629