High-throughput automated system for statistical biosensing employing microcantilevers arrays

Filippo Bosco, Ching H. Chen, En T. Hwu, Michael Bache, Stephan Sylvest Keller, Anja Boisen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    In this paper we present a completely new and fully automated system for parallel microcantilever-based biosensing. Our platform is able to monitor simultaneously the change of resonance frequency (dynamic mode), of deflection (static mode), and of surface roughness of hundreds of cantilevers in a very short time over multiple biochemical reactions. We have proven that our system is capable to measure 900 independent microsensors in less than a second. Here, we report statistical biosensing results performed over a haptens-antibody assay, where complete characterization of the biochemical binding on the cantilever surfaces is obtained with higher accuracy than standard optical lever-based setups.
    Original languageEnglish
    Title of host publicationIEEE 24. International Conference on Micro Electro Mechanical Systems
    PublisherIEEE
    Publication date2011
    Pages877-880
    ISBN (Print)978-1-4244-9632-7
    DOIs
    Publication statusPublished - 2011
    Event24th International Conference on Micro Electro Mechanical Systems - Hilton Cancun Golf & Spa Resort, Cancun, Mexico
    Duration: 23 Jan 201127 Jan 2011
    Conference number: 24
    http://www.ieee-mems2011.org/

    Conference

    Conference24th International Conference on Micro Electro Mechanical Systems
    Number24
    LocationHilton Cancun Golf & Spa Resort
    CountryMexico
    CityCancun
    Period23/01/201127/01/2011
    Internet address

    Keywords

    • Surface roughness
    • Measurement by laser beam
    • Surface treatment
    • Resonant frequency
    • Optical sensors
    • Laser beams

    Fingerprint Dive into the research topics of 'High-throughput automated system for statistical biosensing employing microcantilevers arrays'. Together they form a unique fingerprint.

    Cite this