High throughput label-free platform for statistical bio-molecular sensing

Filippo Bosco, En-Te Hwu, Ching-Hsiu Chen, Stephan Sylvest Keller, Michael Bache, Mogens Havsteen Jakobsen, Ing-Shouh Hwang, Anja Boisen

    Research output: Contribution to journalJournal articleResearchpeer-review


    Sensors are crucial in many daily operations including security, environmental control, human diagnostics and patient monitoring. Screening and online monitoring require reliable and high-throughput sensing. We report on the demonstration of a high-throughput label-free sensor platform utilizing cantilever based sensors. These sensors have often been acclaimed to facilitate highly parallelized operation. Unfortunately, so far no concept has been presented which offers large datasets as well as easy liquid sample handling. We use optics and mechanics from a DVD player to handle liquid samples and to read-out cantilever deflection and resonant frequency. Also, surface roughness is measured. When combined with cantilever deflection the roughness is discovered to hold valuable additional information on specific and unspecific binding events. In a few minutes, 30 liquid samples can be analyzed in parallel, each by 24 cantilever-based sensors. The approach was used to detect the binding of streptavidin and antibodies.
    Original languageEnglish
    JournalLab on a Chip
    Issue number14
    Pages (from-to)2411-2416
    Publication statusPublished - 2011


    Dive into the research topics of 'High throughput label-free platform for statistical bio-molecular sensing'. Together they form a unique fingerprint.

    Cite this