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Cited 14 time in webofscience Cited 14 time in scopus
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3D interior hotspots embedded with viral lysates for rapid and label-free identification of infectious diseases

Authors
Lee, Soo HyunAnsah, Iris BaffourLee, Won-ChulYang, Jun-YeongMun, ChaeWonJang, HyowonKim, SunjooJung, SunghoonJung, Ho SangKang, TaejoonLee, SeunghunKim, Dong-HoPark, Sung-Gyu
Issue Date
Feb-2023
Publisher
Elsevier BV
Keywords
Surface-enhanced Raman spectroscopy; Interior hotspots; Electrochemical deposition; Viral lysates; Label-free assays; Quantitative correlation with delta SARS-CoV-2
Citation
Chemical Engineering Journal, v.454
Indexed
SCIE
SCOPUS
Journal Title
Chemical Engineering Journal
Volume
454
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/30352
DOI
10.1016/j.cej.2022.140066
ISSN
1385-8947
1873-3212
Abstract
In recent decades, biomedical sensors based on surface-enhanced Raman spectroscopy (SERS), which reveals unique spectral features corresponding to individual molecular vibrational states, have attracted intensive attention. However, the lack of a system for precisely guiding biomolecules to active hotspot regions has impeded the broad application of SERS techniques. Herein, we demonstrate the irreversible active engineering of three-dimensional (3D) interior organo-hotspots via electrochemical (EC) deposition onto metal nanodimple (ECOMD) platforms with viral lysates. This approach enables organic seed-programmable Au growth and the spontaneous bottom-up formation of 3D interior organo-hotspots simultaneously. Because of the net charge effect on the participation rate of viral lysates, the number of interior organo-hotspots in the ECOMDs increases with increasingly positive polarity. The viral lysates embedded in the ECOMDs function as both a dielectric medium for field confinement and an analyte, enabling the highly specific and sensitive detection of SARS-CoV-2 lysates (SLs) at concentrations as low as 10-2 plaque forming unit/mL. The ECOMD platform was used to trace and detect the SLs in human saliva and diagnose of the delta-type SARS-CoV-2 in clinical environments; the results indicate that the proposed platform can provide point-of-care diagnoses of infectious diseases.
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