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 c...

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Main Authors: Wang, Weian, Mao, Wangqi, Sun, Hao, Hou, Feiyang, Wang, Wanyu, Liu, Wei, Shi, Zengliang, Lin, Gungun, Wang, Mingliang, Fang, Guocheng, Cheng, Yuen Yee, Xu, Chunxiang
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2025
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Online Access:https://hdl.handle.net/10356/182316
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1823162025-01-24T15:42:20Z Microfluidic SERS biosensor based on Au-semicoated photonic crystals for melanoma diagnosis Wang, Weian Mao, Wangqi Sun, Hao Hou, Feiyang Wang, Wanyu Liu, Wei Shi, Zengliang Lin, Gungun Wang, Mingliang Fang, Guocheng Cheng, Yuen Yee Xu, Chunxiang School of Electrical and Electronic Engineering Engineering Surface enhanced Raman spectroscopy Photonic crystal 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. Published version This work was supported by the National Natural Science Foundation of China NSFC (61821002, 62375049, 62335003, 62075041), the Basic Research Program of Jiangsu Province (BK20222007). W. Wang also acknowledges the support of the China Scholarship Council program (Project ID: 202306090123). 2025-01-22T00:04:08Z 2025-01-22T00:04:08Z 2025 Journal Article Wang, W., Mao, W., Sun, H., Hou, F., Wang, W., Liu, W., Shi, Z., Lin, G., Wang, M., Fang, G., Cheng, Y. Y. & Xu, C. (2025). Microfluidic SERS biosensor based on Au-semicoated photonic crystals for melanoma diagnosis. Biosensors and Bioelectronics, 271, 116983-. https://dx.doi.org/10.1016/j.bios.2024.116983 0956-5663 https://hdl.handle.net/10356/182316 10.1016/j.bios.2024.116983 39642531 2-s2.0-85211052604 271 116983 en Biosensors and Bioelectronics © 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
Surface enhanced Raman spectroscopy
Photonic crystal
spellingShingle Engineering
Surface enhanced Raman spectroscopy
Photonic crystal
Wang, Weian
Mao, Wangqi
Sun, Hao
Hou, Feiyang
Wang, Wanyu
Liu, Wei
Shi, Zengliang
Lin, Gungun
Wang, Mingliang
Fang, Guocheng
Cheng, Yuen Yee
Xu, Chunxiang
Microfluidic SERS biosensor based on Au-semicoated photonic crystals for melanoma diagnosis
description 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.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Wang, Weian
Mao, Wangqi
Sun, Hao
Hou, Feiyang
Wang, Wanyu
Liu, Wei
Shi, Zengliang
Lin, Gungun
Wang, Mingliang
Fang, Guocheng
Cheng, Yuen Yee
Xu, Chunxiang
format Article
author Wang, Weian
Mao, Wangqi
Sun, Hao
Hou, Feiyang
Wang, Wanyu
Liu, Wei
Shi, Zengliang
Lin, Gungun
Wang, Mingliang
Fang, Guocheng
Cheng, Yuen Yee
Xu, Chunxiang
author_sort Wang, Weian
title Microfluidic SERS biosensor based on Au-semicoated photonic crystals for melanoma diagnosis
title_short Microfluidic SERS biosensor based on Au-semicoated photonic crystals for melanoma diagnosis
title_full Microfluidic SERS biosensor based on Au-semicoated photonic crystals for melanoma diagnosis
title_fullStr Microfluidic SERS biosensor based on Au-semicoated photonic crystals for melanoma diagnosis
title_full_unstemmed Microfluidic SERS biosensor based on Au-semicoated photonic crystals for melanoma diagnosis
title_sort microfluidic sers biosensor based on au-semicoated photonic crystals for melanoma diagnosis
publishDate 2025
url https://hdl.handle.net/10356/182316
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