拉曼光谱
信号(编程语言)
微流控
拉曼散射
流体学
材料科学
纳米技术
激光器
计算机科学
光电子学
光学
物理
工程类
航空航天工程
程序设计语言
作者
Mehrdad Lotfi Choobbari,Margot Vandermotten,Tatevik Chalyan,Ilyesse Bihi,Pierre Gelin,Wim De Malsche,Wendy Meulebroeck,Leo A. van Grunsven,Hugo Thienpont,Heidi Ottevaere
标识
DOI:10.1016/j.snb.2024.136300
摘要
2-D and 3-D Raman mapping are powerful imaging techniques for creating chemical images and compositional analysis of materials. Nevertheless, integration and implementation of Raman mapping on a microfluidic system turns out to be arduous due to several challenges, including the movement of sample, low efficiency of detection, low signal-to-noise ratio, and long measurement times. This study introduces a multimodal microchip for concurrent measurement of Raman signal in both forward- and backward-scattering modes from microparticles (MPs) in an aqueous environment. The microchip integrates microfluidic, acoustic, and optical components, synergistically manipulating and stabilizing a cluster of MPs through the application of precise local acoustic forces. The optical components orchestrate the laser and Raman signals, effectively addressing the total internal reflection challenge and significantly enhancing the Raman signal collection efficiency by a factor of ≈ 32 in comparison to a conventional microfluidic chip. The adoption of dual-mode measurement of Raman signal facilitates the creation of a 2-D Raman image, offering a representative view of a 3-D volume image. This practical methodology not only expedites the measurement process from 4 days to 1.5 hours, but also provides a comprehensive analysis of the clustered entities. To benchmark the versatility and applicability of the developed microchip, the Raman signal of microplastics of different types and human hepatoma HepG2 cells are fully investigated. The meticulous bottom-up approach presented herein holds great promise for advancing efficient and high-throughput sample monitoring in aqueous conditions using Raman spectroscopy.
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