• DocumentCode
    590435
  • Title

    Diatom based biosensor for high sensitive fluorescence detection based on a spin-on glass bonding technique

  • Author

    Junfeng Pan ; Jun Cai ; Deyuan Zhang ; Yonggang Jiang ; Yu Wang ; Mingli Chen ; Aobo Li

  • Author_Institution
    Sch. of Mech. Eng. & Autom., Beihang Univ., Beijing, China
  • fYear
    2012
  • fDate
    28-31 Oct. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Diatom, with delicate nanoscale porous SiO2 structures, has a promising application in biosensing. We bond diatoms with SiO2 substrate using spin-on glass (SOG) as interlayer to acquire a high performance diatom based fluorescence detecting biosensor. As diatoms can improve proteins density, diatom based biosensors have higher sensitivity compared with traditional protein sensors. This biosensor is fully made of SiO2 which can be modified for biomass attachment. Nanoscale structures of bonded diatoms are better preserved than any related works. The highest bonding strength is 0.6 MPa. Human immunoglobulin G (IgG) is attached on traditional protein sensors and diatom based biosensors as antibody. After hybridized with Cy3-goat anti-human IgG, the diatom based biosensor provides a fluorescence detection signal 2.5 times higher than the traditional one. Given improved fluorescence detecting sensitivity, this new kind of diatom based biosensor can be widely used for various protein detections.
  • Keywords
    biosensors; nanosensors; proteins; silicon compounds; SiO2; biomass attachment; diatom based biosensor; high sensitive fluorescence detection; human immunoglobulin G; nanoscale porous structures; protein detection; protein sensors; spin-on glass bonding technique; Biosensors; Bonding; Fluorescence; Glass; Proteins; Substrates;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2012 IEEE
  • Conference_Location
    Taipei
  • ISSN
    1930-0395
  • Print_ISBN
    978-1-4577-1766-6
  • Electronic_ISBN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2012.6411218
  • Filename
    6411218