4.8 Article

Precise Encoding of Triple-Bond Raman Scattering of Single Polymer Nanoparticles for Multiplexed Imaging Application

Journal

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
Volume 60, Issue 40, Pages 21846-21852

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/anie.202106136

Keywords

nanoparticles; polymers; Raman imaging; triple bonds

Funding

  1. National Natural Science Foundation of China [22074109, 21874102, 21775114]
  2. National Key Research and Development Program of China [2016YFA0201403]
  3. Science Fund for Creative Research Group of China [61421064]
  4. Leibniz Science Campus InfectoOptics Jena
  5. Leibniz Association
  6. European Union
  7. Free state of Thuringia via Thuringer Innovationszentrum fur Medizintechnik-Losungen (ThIMEDOP) [FKZ IZN 2018 0002]

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By designing small molecular monomers containing large Raman scattering cross-sections and polymerizing them at the nanoscale, smaller but brighter optical nanotags have been developed for high-throughput multi-color biomedical imaging, offering a new method for generating high sensitivity SRS imaging tags.
Stimulated Raman scattering (SRS) microscopy in combination with innovative tagging strategies offers great potential as a universal high-throughput biomedical imaging tool. Here, we report rationally tailored small molecular monomers containing triple-bond units with large Raman scattering cross-sections, which can be polymerized at the nanoscale for enhancement of SRS contrast with smaller but brighter optical nanotags with artificial fingerprint output. From this, a class of triple-bond rich polymer nanoparticles (NPs) was engineered by regulating the relative dosages of three chemically different triple-bond monomers in co-polymerization. The bonding strategy allowed for 15 spectrally distinguishable triple-bond combinations. These accurately structured nano molecular aggregates, rather than long-chain macromolecules, could establish a universal method for generating small-sized biological SRS imaging tags with high sensitivity for high-throughput multi-color biomedical imaging.

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