Enabling rapid parallel SERS detection with integrated microlens array

IF 4.9 Q1 CHEMISTRY, ANALYTICAL
Sara Abbasi , Qing Liu , Dries Rosseel , Hugo Thienpont , Heidi Ottevaere
{"title":"Enabling rapid parallel SERS detection with integrated microlens array","authors":"Sara Abbasi ,&nbsp;Qing Liu ,&nbsp;Dries Rosseel ,&nbsp;Hugo Thienpont ,&nbsp;Heidi Ottevaere","doi":"10.1016/j.sbsr.2025.100808","DOIUrl":null,"url":null,"abstract":"<div><div>Surface-enhanced Raman Spectroscopy (SERS) is a highly sensitive analytical tool with great potential for point-of-care diagnostics. However, integrating SERS with microfluidic chips poses challenges, including low signal uniformity, low light collection efficiency, and high sensitivity to optical misalignment due to the precise focusing required within microfluidic channels. This study aims to overcome these limitations by integrating a high-optical-quality Microlens Array (MLA) into a SERS-embedded platform chip. The MLA focuses light into distinct excitation points, enabling parallel Raman scattering collection and improving overall collection efficiency while reducing sensitivity to alignment issues. Integrating the MLA into the SERS platform resulted in a rise in power density from 40 W/cm<sup>2</sup> to 700 W/cm<sup>2</sup>, leading to a fivefold improvement in the signal-to-noise (SNR) ratio of the collected Raman signal intensity. The MLA's multiplexing capability enabled the simultaneous excitation and detection of multiple analyte regions, providing high signal collection in a single run. These findings highlight the MLA-integrated SERS platform as a scalable, high-sensitivity platform for point-of-care diagnostics, real-time analysis, and high-throughput sensing, addressing critical challenges in light delivery and optical alignment demonstrated low sensitivity to misalignments in the x, y, and z axes.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"48 ","pages":"Article 100808"},"PeriodicalIF":4.9000,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensing and Bio-Sensing Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214180425000741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Surface-enhanced Raman Spectroscopy (SERS) is a highly sensitive analytical tool with great potential for point-of-care diagnostics. However, integrating SERS with microfluidic chips poses challenges, including low signal uniformity, low light collection efficiency, and high sensitivity to optical misalignment due to the precise focusing required within microfluidic channels. This study aims to overcome these limitations by integrating a high-optical-quality Microlens Array (MLA) into a SERS-embedded platform chip. The MLA focuses light into distinct excitation points, enabling parallel Raman scattering collection and improving overall collection efficiency while reducing sensitivity to alignment issues. Integrating the MLA into the SERS platform resulted in a rise in power density from 40 W/cm2 to 700 W/cm2, leading to a fivefold improvement in the signal-to-noise (SNR) ratio of the collected Raman signal intensity. The MLA's multiplexing capability enabled the simultaneous excitation and detection of multiple analyte regions, providing high signal collection in a single run. These findings highlight the MLA-integrated SERS platform as a scalable, high-sensitivity platform for point-of-care diagnostics, real-time analysis, and high-throughput sensing, addressing critical challenges in light delivery and optical alignment demonstrated low sensitivity to misalignments in the x, y, and z axes.
集成微透镜阵列实现快速并行SERS检测
表面增强拉曼光谱(SERS)是一种高度敏感的分析工具,具有很大的即时诊断潜力。然而,将SERS与微流控芯片集成存在挑战,包括低信号均匀性,低光收集效率,以及由于微流控通道内需要精确聚焦而对光学失调的高灵敏度。本研究旨在通过将高光学质量微透镜阵列(MLA)集成到sers嵌入式平台芯片中来克服这些限制。MLA将光聚焦到不同的激励点,实现平行拉曼散射收集,提高整体收集效率,同时降低对对准问题的敏感性。将MLA集成到SERS平台中导致功率密度从40 W/cm2增加到700 W/cm2,导致收集的拉曼信号强度的信噪比(SNR)提高了五倍。MLA的多路复用能力可以同时激发和检测多个分析物区域,在一次运行中提供高信号采集。这些发现突出了mla集成SERS平台作为一个可扩展的、高灵敏度的护理点诊断、实时分析和高通量传感平台,解决了光传输和光学对准的关键挑战,对x、y和z轴的失调具有低灵敏度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Sensing and Bio-Sensing Research
Sensing and Bio-Sensing Research Engineering-Electrical and Electronic Engineering
CiteScore
10.70
自引率
3.80%
发文量
68
审稿时长
87 days
期刊介绍: Sensing and Bio-Sensing Research is an open access journal dedicated to the research, design, development, and application of bio-sensing and sensing technologies. The editors will accept research papers, reviews, field trials, and validation studies that are of significant relevance. These submissions should describe new concepts, enhance understanding of the field, or offer insights into the practical application, manufacturing, and commercialization of bio-sensing and sensing technologies. The journal covers a wide range of topics, including sensing principles and mechanisms, new materials development for transducers and recognition components, fabrication technology, and various types of sensors such as optical, electrochemical, mass-sensitive, gas, biosensors, and more. It also includes environmental, process control, and biomedical applications, signal processing, chemometrics, optoelectronic, mechanical, thermal, and magnetic sensors, as well as interface electronics. Additionally, it covers sensor systems and applications, µTAS (Micro Total Analysis Systems), development of solid-state devices for transducing physical signals, and analytical devices incorporating biological materials.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信