化学
微流控
纳米探针
微流控芯片
纳米技术
混合(物理)
炸薯条
液体活检
癌症
纳米颗粒
电气工程
物理
内科学
工程类
医学
材料科学
量子力学
作者
Jiaqi Yang,Ziyun Ye,Qilu Xue,Dandan Li,Minghui Liang,Guoqian Li,Huanhuan Liu,Langlang Yi,Bo Hu,Pengju Yin,Guanqun Ge,Klyuyev Dmitriy,Alexandre Maciuk,Bruno Figadère
标识
DOI:10.1021/acs.analchem.4c06051
摘要
Surface-enhanced Raman scattering (SERS) has emerged as a potent spectroscopic technique for the detection of single cells. However, it is difficult to achieve label-free detection at the single-cell level in dynamic liquids because nanoprobe aggregation in biological fluids and the low combination of nanoprobes and cells reduce the sensitivity of SERS detection. Herein, a dynamic liquid integrated single-cell SERS (DLISC-SERS) platform is developed for the label-free detection of single cancer cells. DLISC-SERS consists of three components, including a twisted mixing microfluidic chip to achieve an efficient combination of nanoprobes and cells, a commercial coaxial needle to accomplish 3D dynamic liquid focusing by annular sheath flow, and a quartz capillary to offer a SERS detection area with low noise. The mixing intensity of the twisted mixing microfluidic chip is almost 3.67-fold higher than that of straight mixing. The multifunctionally modified nanoprobe, Ag NSs@PEG@3COOH, can be stably dispersed in biological fluids for at least 30 min. The segment weighting similarity-based KNN model can classify single-cell spectra with sensitivity, specificity, and accuracy up to 100, 99.4, and 99.5%, respectively. The accuracy of the model for three-way classification is 95.2%. The DLISC-SERS platform is a powerful tool for detecting cancer cells at the single-cell level.
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