• DocumentCode
    657038
  • Title

    Dual high-frequency Surface Acoustic Wave Resonator for ultrafine particle sensing

  • Author

    Thomas, Stephan ; Racz, Z. ; Cole, Marty ; Gardner, Julian W.

  • Author_Institution
    Microsensors & Bioelectronics Lab., Univ. of Warwick, Coventry, UK
  • fYear
    2013
  • fDate
    3-6 Nov. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper describes the development of a low-cost robust Surface Acoustic Wave Resonator (SAWR) micro sensor capable of detecting sub-micron size particles below 1 ng. The device comprises two 262 MHz Rayleigh wave SAW resonators fabricated on ST-cut quartz where one is used for particle sensing and the other as a reference channel. Electro-acoustic detection of different particles (including carbon, gold, sucrose, silicon, and PTFE) with different diameters was studied. The mass sensitivity of the SAWR was found to be typically 275 Hz/ng or 4 pg/Hz for the detection of 750 nm diameter gold particles. We believe that the device could be used as a low-cost and low power microsensor for the real-time and ubiquitous monitoring of airborne particulate matter. In particular, our SAWR sensor can be used to detect the typical levels of ultrafine particulate pollutants (PM2.5) found in city air today.
  • Keywords
    Rayleigh waves; acoustoelectric transducers; atmospheric techniques; gold; microsensors; nanoparticles; particle size; surface acoustic wave resonators; Au; PTFE; Rayleigh wave SAW resonators; ST-cut quartz; SiO2; carbon particles; dual high-frequency surface acoustic wave resonator; electro-acoustic detection; frequency 262 MHz; gold particles; low-cost robust SAWR microsensor; mass sensitivity; silicon particles; size 750 nm; submicron size particle detection; sucrose; ultrafine particle sensing; ultrafine particulate pollutants; Gold; Oscillators; Resonant frequency; Sensitivity; Sensors; Surface acoustic wave devices; Surface acoustic waves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2013 IEEE
  • Conference_Location
    Baltimore, MD
  • ISSN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2013.6688319
  • Filename
    6688319