한승연 (서울시립대학교)

한빛사논문

조회120

한승연Seungyeon Han

서울시립대학교

CV File 99 kb

Biosens. Bioelectron., Aug 12 2024, 264 S0956-5663(24)00669-9 | https://doi.org/10.1016/j.bios.2024.116663 Label-free and liquid state SERS detection of multi-scaled bioanalytes via light-induced pinpoint colloidal assembly

Seungyeon Han ^a, Junhee Park ^a, Sunghyun Moon ^b, Seonghyeon Eom ^a, Chang Min Jin ^a, Seungmin Kim ^c,d, Yong-Sang Ryu ^c,d, Yeonho Choi ^c,d,e, Jong Bum Lee ^b, Inhee Choi ^a,f

^aDepartment of Life Science, University of Seoul, Seoul, 02504, Republic of Korea

^bDepartment of Chemical Engineering, University of Seoul, Seoul, 02504, Republic of Korea

^cSchool of Biomedical Engineering, Korea University, Seoul, 02481, Republic of Korea

^dInterdisciplinary Program in Precision Public Health, Korea University, Seoul, 02481, Republic of Korea

^eExopert Corporation, Seoul, 02580, Republic of Korea

^fDepartment of Applied Chemistry, University of Seoul, Seoul, 02504, Republic of Korea

Corresponding author : Inhee Choi

Abstract

Surface-enhanced Raman scattering (SERS) has been extensively applied to detect complex analytes due to its ability to enhance the fingerprint signals of molecules around nanostructured metallic surfaces. Thus, it is essential to design SERS-active nanostructures with abundant electromagnetic hotspots in a probed volume according to the dimensions of the analytes, as the analytes must be located in their hotspots for maximum signal enhancement. Herein, we demonstrate a simple method for detecting robust SERS signals from multi-scaled bioanalytes, regardless of their dimensions in the liquid state, through a photothermally driven co-assembly with colloidal plasmonic nanoparticles as signal enhancers. Under resonant light illumination, plasmonic nanoparticles and analytes in the solution quickly assemble at the focused surface area by convective movements induced by the photothermal heating of the plasmonic nanoparticles without any surface modification. Such collective assemblies of plasmonic nanoparticles and analytes were optimized by varying the optical density and surface charge of the nanoparticles, the viscosity of the solvent, and the light illumination time to maximize the SERS signals. Using these light-induced co-assemblies, the intrinsic SERS signals of small biomolecules can be detected down to nanomolar concentrations based on their fingerprint spectra. Furthermore, large-sized biomarkers, such as viruses and exosomes, were successfully detected without labels, and the complexity of the collected spectra was statistically analyzed using t-distributed stochastic neighbor embedding combined with support vector machine (t-SNE + SVM). The proposed method is expected to provide a robust and convenient method to sensitively detect biologically and environmentally relevant analytes at multiple scales in liquid samples.

논문정보

형식Research article
게재일2024년 08월 (BRIC 등록일 2024-08-28)
연구진국내 연구진
분야 바이오·의료융합 > 바이오센싱 및 나노바이오물질

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