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Rodal-Cedeira, S.; Vázquez-Arias, A.; Bodelon, G.; Skorikov, A.; Núñez-Sanchez, S.; La Porta, A.; Polavarapu, L.; Bals, S.; Liz-Marzán, L.M.; Perez-Juste, J.; Pastoriza-Santos, I. |
![goto web page (via DOI) doi](http://nano.uantwerpen.be/nanorefs/img/doi.gif)
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Title |
An Expanded Surface-Enhanced Raman Scattering Tags Library by Combinatorial Encapsulation of Reporter Molecules in Metal Nanoshells |
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A1 Journal article |
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Year |
2020 |
Publication |
Acs Nano |
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Acs Nano |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT) |
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Abstract |
Raman-encoded gold nanoparticles 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 pre-defined codes is based on the in situ incorporation of Raman reporter molecules inside Au nanocapsules 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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Wos |
000595533800019 |
Publication Date ![sorted by Publication Date field, descending order (down)](img/sort_desc.gif) |
2020-09-01 |
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ISSN |
1936-0851 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
17.1 |
Times cited |
14 |
Open Access |
OpenAccess |
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Notes |
L.M.L.-M. acknowledges financial support from the European Research Council (ERC-AdG-4DbioSERS-787510) and the Spanish State Research Agency (Grant No. MDM-2017-0720 and PID2019-108954RB-I00). I.P.-S. and J.P.-J. acknowledge financial support from the Spanish State Research Agency (Grant No. MAT2016-77809-R)) and Ramon Areces Foundation (Grant No. SERSforSAFETY). G.B. acknowledges financial support from CINBIO (Grant number ED431G 2019/07 Xunta de Galicia). S.B. and A.S. acknowledge financial support by the Research Foundation Flanders (FWO grant G038116N). This project received funding as well from the European Union’s Horizon 2020 research and innovation program under grant agreement No 731019 (EUSMI). S.B. acknowledges support from the European Research Council (ERC Consolidator Grant #815128 REALNANO). We thank Carlos Fernández-Lodeiro and Daniel García-Lojo for their helpful contribution to the SEM characterization and SERS analysis and Veronica Montes-García for her fruitful contribution in the PCA analysis.; sygma |
Approved |
Most recent IF: 17.1; 2020 IF: 13.942 |
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Call Number |
EMAT @ emat @c:irua:172492 |
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6403 |
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