4.8 Article

An Expanded Surface-Enhanced Raman Scattering Tags Library by Combinatorial Encapsulation of Reporter Molecules in Metal Nanoshells

期刊

ACS NANO
卷 14, 期 11, 页码 14655-14664

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsnano.0c04368

关键词

plasmonic nanocapsules; SERS tags; SERS library; combinatorial encapsulation; cell imaging

资金

  1. European Research Council [ERC-AdG-4DbioSERS-787510]
  2. Spanish State Research Agency [MAT201677809-R, PID2019-108954RB-100, MDM-20170720]
  3. Ramon Areces Foundation [SERSforSAFETY]
  4. Xunta de Galicia (Centro singular de investigacion de Galicia accreditation 2019-2022)
  5. European Union (European Regional Development Fund ERDF)
  6. Research Foundation Flanders (FWO) [G038116N]
  7. European Union's Horizon 2020 research and innovation program [731019]
  8. European Research Council (ERC) [815128]

向作者/读者索取更多资源

Raman-encoded gold nanoparticles (NPs) have been widely employed as photostable multifunctional probes for sensing, bioimaging, multiplex diagnostics, and surface-enhanced Raman scattering (SERS)-guided tumor therapy. We report a strategy toward obtaining a particularly large library of Au nanocapsules encoded with Raman codes defined by the combination of different thiol-free Raman reporters, encapsulated at defined molar ratios. The fabrication of SERS tags with tailored size and predefined codes is based on the in situ incorporation of Raman reporter molecules inside Au nano-capsules during their formation via galvanic replacement coupled to seeded growth on Ag NPs. The hole-free closed-shell structure of the nanocapsules is confirmed by electron tomography. The unusually wide encoding possibilities of the obtained SERS tags are investigated by means of either wavenumber-based encoding or Raman frequency combined with signal intensity, leading to an outstanding performance as exemplified by 26 and 54 different codes, respectively. We additionally demonstrate that encoded nanocapsules can be readily bioconjugated with antibodies for applications such as SERS-based targeted cell imaging and phenotyping.

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