• DocumentCode
    190185
  • Title

    Wireless surface-scanning ME biosensors system for bacterial detection on fresh produce

  • Author

    Yating Chai ; Horikawa, Shin ; Wikle, Howard C. ; Simonian, Aleksandr ; Chin, Bryan A.

  • Author_Institution
    Mater. Res. & Educ. Center, Auburn Univ., Auburn, AL, USA
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    1847
  • Lastpage
    1849
  • Abstract
    This paper investigates the use of wireless, magnetoelastic (ME) biosensors for the surface-scanning detection of Salmonella Typhimurium on fresh produce (eggs, spinach leaves, tomatoes, etc.). The ME biosensor consists of a ME resonator as the sensor platform and E2 phage as the bio-recognition element. The E2 phage is genetically engineered to specifically bind with Salmonella Typhimurium. The ME biosensor is actuated into resonance by an externally applied magnetic field. A microfabricated planar coil was used to measure the resonant frequencies of multiple ME biosensors. The resonant frequency of the biosensors before and after the exposure to the spiked fresh produce was measured. When the Salmonella cells bind with the ME biosensors, the mass of the resonator increases, resulting in a decrease in the sensor´s resonant frequency. Real time, in-situ bacteria detection on fresh produce surfaces was demonstrated and compared with previous detection results.
  • Keywords
    agricultural products; biosensors; biotechnology; food safety; genetic engineering; microorganisms; Salmonella Typhimurium; bacterial detection; biorecognition element; eggs; fresh produce; genetic engineering; spinach leaves; tomatoes; wireless magnetoelastic biosensors; wireless surface scanning ME biosensors system; Amorphous magnetic materials; Biosensors; Coils; Frequency measurement; Magnetic resonance; Microorganisms; bacteria detection; biosensor; magnetoelastic; resonator; wireless;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2014 IEEE
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/ICSENS.2014.6985387
  • Filename
    6985387