NIR Dye-Encoded Nanotags for Biosensing: Role of Functional Groups on Sensitivity and Performance in SERRS-Based LFA

By Choi, Namhyun, Mujo Adanalic, Asen Dankov, Roland Grzeschik, Michelle Hechler, and Sebastian Schlücker

April 4, 2023

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Title

NIR Dye-Encoded Nanotags for Biosensing: Role of Functional Groups on Sensitivity and Performance in SERRS-Based LFA

Author

Choi, Namhyun, Mujo Adanalic, Asen Dankov, Roland Grzeschik, Michelle Hechler, and Sebastian Schlücker

Year

2023

Journal

Journal of Raman Spectroscopy

Abstract

Surface-enhanced resonance Raman scattering (SERRS) is based on nanostructures supporting localized surface plasmon resonances as well as electronic resonances of the molecular adsorbate. Bright NIR-SERRS nanotags require dyes with high Raman scattering cross-sections upon NIR laser excitation in combination with functional groups for chemisorption. Here, we report on the role of isothiocyanate (ITC) and sulfonate (SO) groups in five cyanine dyes on sensitivity and performance of nanotags in SERRS-based LFA. Dye concentration-dependent SERRS and zeta potential measurements on bare gold nanostars (AuNS) revealed strong differences in their sensitivity and stability as a function of the number of ITC and SO groups. A positive correlation with the number of ITC groups due to stronger chemisorption and a negative correlation with the number of SO groups due to stronger desorption because of higher water solubility was observed. The application in SERRS-based biosensing requires additional functionalization steps, for example, co-adsorption PEG with the NIR dye. The comparison of the Raman intensities before and after bioconjugation showed that the presence of at least one ITC group is necessary for minimizing Raman signal losses, irrespective of the additional presence of SO groups. In a SERRS-based lateral flow assay (LFA) for sensing the pregnancy marker beta-hCG, the two dyes NIR 4f and NIR 5e (both ITC = 2, SO = 0) showed the best performance. In contrast, we do not recommend to use IR-783 (ITC = 0, SO = 2) for SERRS-based biosensing. Overall, this study highlights the importance of surface-seeking moieties such as the common ITC group for optimal performance in SERRS-based biosensing platforms.

Full Article

https://onlinelibrary.wiley.com/doi/10.1002/jrs.6519

Instrument

V-730

Keywords

SERS