Abstract
We report a bimodal imaging method that can spatially resolve and concurrently correlate SERS and background-free Mie scattering signals. By examining two types of nanoparticle assemblies with different types of plasmonic junctions, namely raspberry-like metamolecules (raspberry-MMs) containing intraparticle nanogaps and groups of Au nanocubes forming interparticle gaps, we were able to rapidly screen SERS-active particles among the entire population of nanoparticles. Ratiometric analysis of SERS/Mie scattering revealed distinct behaviors for these intra- and interparticle nanogaps. In particular, raspberry-MMs showed a high fraction of SERS-active particles with the SERS intensity essentially insensitive to the nanoparticle aggregation state and a predictable environmental dependence. In comparison, nanocube clusters exhibited highly heterogeneous SERS/Mie scattering ratios and unpredictable intensity fluctuations but higher maximum SERS intensity. This dual-imaging approach constitutes an in situ visualization tool that enables simultaneous and stoichiometric analysis of dual signals consisting of elastic and inelastic scattering, which can significantly improve the reliability of SERS measurements.
Original language | English |
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Pages (from-to) | 5889-5896 |
Number of pages | 8 |
Journal | Journal of Physical Chemistry Letters |
Volume | 12 |
DOIs | |
State | Published - 2021 |
Bibliographical note
Funding Information:S.-J.P. acknowledges the financial support from the National Research Foundation (NRF) of Korea (NRF-2018R1A2B3001049) and the Science Research Center (SRC) funded by NRF (NRF-2017R1A5A1015365). H.L. was supported by the NRF grant funded by MSIT (No. NRF-2019R1A2C1010514) and KRICT (No. KK2032-10). J.K.H. was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2019R1C1C1002802). Electron microscope imaging was performed with the support from the Korea Basic Science Institute (National Research Facilities and Equipment Center) grant funded by the Ministry of Education (NRF-2020R1A6C101B194). N.H.K. was supported by the National Research Council of Science & Technology (NST) grant by MSIT (No. CRC-16-01-KRICT).
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