3D interior hotspots embedded with viral lysates for rapid and label-free identification of infectious diseases
- Authors
- Lee, Soo Hyun; Ansah, Iris Baffour; Lee, Won-Chul; Yang, Jun-Yeong; Mun, ChaeWon; Jang, Hyowon; Kim, Sunjoo; Jung, Sunghoon; Jung, Ho Sang; Kang, Taejoon; Lee, Seunghun; Kim, Dong-Ho; Park, 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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