• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

微流控技术在表面增强拉曼光谱分析中的最新进展。

Recent progress of microfluidics in surface-enhanced Raman spectroscopic analysis.

机构信息

School of Chemistry, Sun Yat-sen University, Guangzhou, P. R. China.

出版信息

J Sep Sci. 2021 Apr;44(8):1752-1768. doi: 10.1002/jssc.202001196. Epub 2021 Mar 13.

DOI:10.1002/jssc.202001196
PMID:33630352
Abstract

Surface-enhanced Raman spectroscopy is a significant analytical tool capable of fingerprint identification of molecule in a rapid and ultrasensitive manner. However, it is still hard to meet the requirements of practical sample analysis. The introduction of microfluidics can effectively enhance the performance of surface-enhanced Raman spectroscopy in complex sample analysis including reproducibility, selectivity, sensitivity, and speed. This review summarizes the recent progress of microfluidics in surface-enhanced Raman spectroscopic analysis through four combination approaches. First, microfluidic synthetic techniques offer uniform nano-/microparticle fabrication approaches for reproductive surface-enhanced Raman spectroscopic analysis. Second, the integration of microchip and surface-enhanced Raman spectroscopic substrate provides advanced devices for sensitive and efficient detection. Third, microfluidic sample preparations enable rapid separation and preconcentration of analyte prior to surface-enhanced Raman spectroscopic detection. Fourth, highly integrated microfluidic devices can be employed to realize multistep surface-enhanced Raman spectroscopic analysis containing material fabrication, sample preparation, and detection processes. Furthermore, the challenges and outlooks of the application of microfluidics in surface-enhanced Raman spectroscopic analysis are discussed.

摘要

表面增强拉曼光谱是一种重要的分析工具,能够快速、灵敏地对分子进行指纹识别。然而,它仍然难以满足实际样品分析的要求。微流控技术的引入可以有效地增强表面增强拉曼光谱在复杂样品分析中的性能,包括重现性、选择性、灵敏度和速度。本文通过四种组合方法综述了微流控技术在表面增强拉曼光谱分析中的最新进展。首先,微流控合成技术为重复性表面增强拉曼光谱分析提供了均匀的纳米/微颗粒制备方法。其次,微芯片和表面增强拉曼光谱基底的集成提供了用于灵敏和高效检测的先进器件。第三,微流体样品制备能够在表面增强拉曼光谱检测之前快速分离和浓缩分析物。第四,高度集成的微流控器件可用于实现包含材料制备、样品制备和检测过程的多步表面增强拉曼光谱分析。此外,还讨论了微流控在表面增强拉曼光谱分析中的应用所面临的挑战和展望。

相似文献

1
Recent progress of microfluidics in surface-enhanced Raman spectroscopic analysis.微流控技术在表面增强拉曼光谱分析中的最新进展。
J Sep Sci. 2021 Apr;44(8):1752-1768. doi: 10.1002/jssc.202001196. Epub 2021 Mar 13.
2
Microfluidics and surface-enhanced Raman spectroscopy, a win-win combination?微流控与表面增强拉曼光谱,双赢组合?
Lab Chip. 2022 Feb 15;22(4):665-682. doi: 10.1039/d1lc01097b.
3
[Research progress of electrically-driven force based online rapid separation and enrichment techniques].[基于电驱动力的在线快速分离富集技术研究进展]
Se Pu. 2020 Oct 8;38(10):1197-1205. doi: 10.3724/SP.J.1123.2020.07026.
4
Analytical characterization using surface-enhanced Raman scattering (SERS) and microfluidic sampling.使用表面增强拉曼散射(SERS)和微流体采样进行分析表征。
Nanotechnology. 2015 Mar 6;26(9):092001. doi: 10.1088/0957-4484/26/9/092001.
5
Advances in droplet microfluidics for SERS and Raman analysis.液滴微流控技术在 SERS 和拉曼分析中的进展。
Biosens Bioelectron. 2022 Feb 15;198:113822. doi: 10.1016/j.bios.2021.113822. Epub 2021 Nov 20.
6
Recent strategies toward microfluidic-based surface-enhanced Raman spectroscopy.基于微流控的表面增强拉曼光谱的最新策略。
Electrophoresis. 2017 Aug;38(16):1977-1987. doi: 10.1002/elps.201700046. Epub 2017 May 12.
7
Metal-polymer nanocomposites for integrated microfluidic separations and surface enhanced Raman spectroscopic detection.用于集成微流控分离和表面增强拉曼光谱检测的金属-聚合物纳米复合材料。
J Sep Sci. 2004 Dec;27(17-18):1545-50. doi: 10.1002/jssc.200401886.
8
Recent advances in microfluidic-based spectroscopic approaches for pathogen detection.基于微流控的病原体检测光谱方法的最新进展。
Biomicrofluidics. 2024 Jun 7;18(3):031505. doi: 10.1063/5.0204987. eCollection 2024 May.
9
Microfluidics and Surface-Enhanced Raman Spectroscopy: A Perfect Match for New Analytical Tools.微流控与表面增强拉曼光谱:新型分析工具的完美组合。
IEEE Trans Nanobioscience. 2019 Oct;18(4):558-566. doi: 10.1109/TNB.2019.2943078. Epub 2019 Sep 23.
10
Waveguide confined Raman spectroscopy for microfluidic interrogation.用于微流控检测的波导限制拉曼光谱学。
Lab Chip. 2011 Apr 7;11(7):1262-70. doi: 10.1039/c0lc00462f. Epub 2011 Jan 11.

引用本文的文献

1
Tapered Optical Fiber Optofluidics: Bridging In-Fiber and Outside-Fiber Architectures Toward Autonomous Lab-on-Fiber Biosensing.锥形光纤光流体学:连接光纤内和光纤外架构以实现自主式光纤上实验室生物传感
Sensors (Basel). 2025 Aug 22;25(17):5229. doi: 10.3390/s25175229.
2
Emerging biosensors integrated with microfluidic devices: a promising analytical tool for on-site detection of mycotoxins.集成微流控装置的新型生物传感器:用于现场检测霉菌毒素的有前途的分析工具。
NPJ Sci Food. 2025 May 23;9(1):84. doi: 10.1038/s41538-025-00444-5.
3
Recent Progress on Microfluidics Integrated with Fiber-Optic Sensors for On-Site Detection.
用于现场检测的微流控与光纤传感器集成的最新进展
Sensors (Basel). 2024 Mar 24;24(7):2067. doi: 10.3390/s24072067.
4
On-Chip Photonic Detection Techniques for Non-Invasive In Situ Characterizations at the Microfluidic Scale.用于微流控尺度非侵入式原位表征的片上光子检测技术
Sensors (Basel). 2024 Feb 27;24(5):1529. doi: 10.3390/s24051529.
5
Raman and Surface-Enhanced Raman Scattering Detection in Flowing Solutions for Complex Mixture Analysis.流动溶液中用于复杂混合物分析的拉曼和表面增强拉曼散射检测
Annu Rev Anal Chem (Palo Alto Calif). 2024 Jul;17(1):411-432. doi: 10.1146/annurev-anchem-061522-035207. Epub 2024 Jul 2.
6
A review of recent progress in the application of Raman spectroscopy and SERS detection of microplastics and derivatives.拉曼光谱及表面增强拉曼光谱检测微塑料及其衍生物应用的近期进展综述。
Mikrochim Acta. 2023 Nov 13;190(12):465. doi: 10.1007/s00604-023-06044-y.
7
Application of Microfluidics for Bacterial Identification.微流控技术在细菌鉴定中的应用。
Pharmaceuticals (Basel). 2022 Dec 9;15(12):1531. doi: 10.3390/ph15121531.
8
Machine Learning-Driven Multiobjective Optimization: An Opportunity of Microfluidic Platforms Applied in Cancer Research.机器学习驱动的多目标优化:微流控平台在癌症研究中的应用机遇。
Cells. 2022 Mar 5;11(5):905. doi: 10.3390/cells11050905.