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    Label-Free Detection of Ovarian Cancer Antigen CA125 by Surface Enhanced Raman Scattering.

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    Type
    Article
    Authors
    TunÇ, İlknur
    Susapto, Hepi Hari
    KAUST Department
    Bioscience Program
    Date
    2019-09-07
    Online Publication Date
    2019-09-07
    Print Publication Date
    2020-03-01
    Permanent link to this record
    http://hdl.handle.net/10754/656709
    
    Metadata
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    Abstract
    Surface-enhanced Raman spectroscopy (SERS) has drawn attention in recent years for imaging biologicalmolecules as an analytical tool due to its label-free approach. The SERS approach can be used in tracking organic molecules and monitoring unique Raman spectra of the organic molecules bound to metal nanoparticles (NPs). In this paper, the molecular specifity of Raman Spectroscopy was used together with self-assembled monolayer of metallic AuNPs as a sensor platform in order to detect CA125 antibody-antigen probe molecules. Highly enhanced electromagnetic fields localized around neighboring AuNPs provide hot-spot construction due to the spatial distribution of SERS enhancement on the CA125 proteins at nM concentration level. Time resolved SERS mapping of CA125 antibody and antigen couples was recorded. Even though blinking behavior was observed for some cases, vast variety SERS signals from CA125 proteins were highly reproducible. Blinking behavior is attributed to single molecular detection. Distinguished feature of SERS mapping images of CA125 antibody and antigen with such a low concentration level is very promising for this technique to be used for diagnostic purposes.
    Citation
    TunÇ, İ., & Susapto, H. H. (2020). Label-Free Detection of Ovarian Cancer Antigen CA125 by Surface Enhanced Raman Scattering. Journal of Nanoscience and Nanotechnology, 20(3), 1358–1365. doi:10.1166/jnn.2020.17141
    Publisher
    American Scientific Publishers
    Journal
    Journal of nanoscience and nanotechnology
    DOI
    10.1166/jnn.2020.17141
    Additional Links
    https://www.ingentaconnect.com/content/10.1166/jnn.2020.17141
    ae974a485f413a2113503eed53cd6c53
    10.1166/jnn.2020.17141
    Scopus Count
    Collections
    Articles; Bioscience Program

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