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    Photolithographic strategy for patterning preformed, chemically modified, porous silicon photonic crystal using click chemistry

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    Fulltext not available
    Authors
    Zhu, Y.
    Gupta, B.
    Guan, B.
    Ciampi, Simone
    Reece, P.
    Gooding, J.
    Date
    2013
    Type
    Journal Article
    
    Metadata
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    Citation
    Zhu, Y. and Gupta, B. and Guan, B. and Ciampi, S. and Reece, P. and Gooding, J. 2013. Photolithographic strategy for patterning preformed, chemically modified, porous silicon photonic crystal using click chemistry. ACS Applied Materials and Interfaces. 5 (14): pp. 6514-6521.
    Source Title
    ACS Applied Materials and Interfaces
    DOI
    10.1021/am4006012
    ISSN
    1944-8244
    School
    Nanochemistry Research Institute
    URI
    http://hdl.handle.net/20.500.11937/19539
    Collection
    • Curtin Research Publications
    Abstract

    Porous silicon (PSi) is an ideal platform for label-free biosensing, and the development of porous silicon patterning will open a pathway to the development of highly parallel PSi biochips for detecting multiple analytes. The optical response of PSi photonic crystal is determined by the changes in the effective bulk refractive index resulting from reactions/events occurring within the internal pore space. Therefore, introducing precise chemical functionalities in the pores of PSi is essential to ensure device selectivity. Here we describe the fabrication of PSi patterns that possess discrete chemical functionalities that are restricted to precise locations. The key difference to previous patterning protocols for PSi is that the entire porous material is first modified with a self-assembled monolayer of a α,ω-diyne adsorbate prior to patterning using a microfabricated titanium mask. The distal alkyne moieties in the monolayer are then amenable to further selective modification by the archetypal “click” reaction, the copper catalyzed alkyne–azide cycloaddition (CuAAC), using the titanium mask as a resist. This type of patterning is suitable for further immobilization of biological recognition elements, and presents a new platform for highly parallel PSi biosensor for multiple detections.

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