Advanced Materials

Ordered Arrays of Raman Nanosensors for Ultrasensitive and Location Predictable Biochemical Detection

Authors

  • Xiaobin Xu,

    1. Materials Science and Engineering Program, Texas Materials Institute, Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78712, USA
    Search for more papers by this author
  • Kwanoh Kim,

    1. Materials Science and Engineering Program, Texas Materials Institute, Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78712, USA
    Search for more papers by this author
  • Huifeng Li,

    1. Materials Science and Engineering Program, Texas Materials Institute, Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78712, USA
    Search for more papers by this author
  • D.L. Fan

    Corresponding author
    1. Materials Science and Engineering Program, Texas Materials Institute, Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78712, USA
    • Materials Science and Engineering Program, Texas Materials Institute, Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
    Search for more papers by this author

Abstract

Surface enhanced Raman scattering (SERS) is sensitive enough for single-molecule biochemical detection, but it is extremely difficult to obtain a large number of SERS hotspots for sensitive and reproducible detection. It is even more challenging to assemble the hotspots at designated positions for location predictable sensing. Here, we report an original strategy for the synthesis, manipulation, and assembling of plasmonic nanocapsule SERS sensors for high-sensitivity biochemical detection at predictable locations.

original image

Ancillary