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Shifted‐excitation Raman difference spectroscopy for the detection of SERS‐encoded gold nanostar probes
Author(s) -
Register Janna,
Maiwald Martin,
Fales Andrew,
Strobbia Pietro,
Sumpf Bernd,
VoDinh Tuan
Publication year - 2018
Publication title -
journal of raman spectroscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.748
H-Index - 110
eISSN - 1097-4555
pISSN - 0377-0486
DOI - 10.1002/jrs.5482
Subject(s) - raman spectroscopy , surface enhanced raman spectroscopy , materials science , biosensor , plasmon , in vivo , raman scattering , nanotechnology , chemistry , optoelectronics , optics , physics , microbiology and biotechnology , biology
Abstract In vivo applications of surface‐enhanced Raman spectroscopy (SERS) have limited sensitivity due to the intense background signal from real‐life complex samples such as plants and tissues. To overcome this issue, this work investigates the combination of shifted‐excitation Raman difference spectroscopy (SERDS) with SERS nanoprobes to generate background‐free SE‐SERDS spectra. The SERDS technique was performed with a dual‐wavelength diode laser with two emission lines at 785.40 and 785.02 nm. The SERS nanoprobes used for these studies are SERS‐encoded nanostars. The use of the SERDS technique in the detection of SERS nanoprobes was demonstrated by recovering full Raman spectra from a 1 pM concentration of nanoprobes, which only show few peaks in the pure SERS spectra. Background‐free SE‐SERDS spectra were collected from SERS nanoprobes injected in pig skin ex vivo. Pig skin is considered a good model of human skin and was previously used in testing the performance of our SERS nanoprobes when implanted subcutaneously. In this study, we show the application of SERDS for background removal and signal recovery in spectra of SERS nanoprobes. In addition, the detection of SERS plasmonic nanoprobes implanted into animal skin further illustrates the usefulness of the SE‐SERDS technique and how the combination of SERS with SERDS provides a powerful tool for in vivo biosensing.