Microfluidic SERS biosensor based on Au-semicoated photonic crystals for melanoma diagnosis

Surface-enhanced Raman scattering (SERS) shows great promise for early diagnosis due to its high specificity and rapid detection capabilities. However, its application is often hindered by substrate instability and insufficient interaction between the substrate and incident light. To address these challenges, a photonic-plasmonic strategy is often employed to enhance sensing performance but it is generally limited by the low efficiency of plasmonic metal and optical cavity resonances. In this study, we significantly improved resonance efficiency by optimizing the photonic crystal configuration and designing Au-semicoated polystyrene nanospheres. These modifications maximized light capture and resonance efficiency, resulting in a 790-fold enhancement of the Raman signal with a relative standard deviation of only 4.58%. This approach was further developed into microfluidic biosensors for melanoma diagnosis, achieving a 2-3 order-of-magnitude improvement over comparable SERS biosensors. We believe this technology has the potential to significantly improve the efficiency of early diagnosis and clinical medical analysis.

Authors

Institutions

Publication Details

Journal
Biosensors and Bioelectronics
Published
2024-11-29
DOI
https://doi.org/10.1016/j.bios.2024.116983
Citations
15
Primary Topic
Gold and Silver Nanoparticles Synthesis and Applications
Type
article
Field-Weighted Citation Impact
1.77
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Microfluidic SERS biosensor based on Au-semicoated photonic crystals for melanoma diagnosis

Wangqi Mao, Gungun Lin, Fuchen Hou, Guocheng Fang et al.
15 citations
Biosensors and Bioelectronics
Gold and Silver Nanoparticles Synthesis and Applications
1.77
article

Microfluidic SERS biosensor based on Au-semicoated photonic crystals for melanoma diagnosis

Wangqi Mao, Gungun Lin, Fuchen Hou, Guocheng Fang, Yuen Yee Cheng, Weian Wang, Wei Liu, Chunxiang Xu, Zengliang Shi, Wan-Yu Wang, Mingliang Wang
article en
15 citations

Abstract

Surface-enhanced Raman scattering (SERS) shows great promise for early diagnosis due to its high specificity and rapid detection capabilities. However, its application is often hindered by substrate instability and insufficient interaction between the substrate and incident light. To address these challenges, a photonic-plasmonic strategy is often employed to enhance sensing performance but it is generally limited by the low efficiency of plasmonic metal and optical cavity resonances. In this study, we significantly improved resonance efficiency by optimizing the photonic crystal configuration and designing Au-semicoated polystyrene nanospheres. These modifications maximized light capture and resonance efficiency, resulting in a 790-fold enhancement of the Raman signal with a relative standard deviation of only 4.58%. This approach was further developed into microfluidic biosensors for melanoma diagnosis, achieving a 2-3 order-of-magnitude improvement over comparable SERS biosensors. We believe this technology has the potential to significantly improve the efficiency of early diagnosis and clinical medical analysis.

Biosensors and BioelectronicsVol. 271
University of Technology Sydney (AU), Zhejiang A & F University (CN), Nanyang Technological University (SG), Southeast University (BD), Shanghai Institute of Optics and Fine Mechanics (CN), Southeast University (CN)
Zero hunger
Openalex Percentile: Top 15%
Gold and Silver Nanoparticles Synthesis and Applications
1.77
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.