Dynamic Liquid Integrated Single-Cell SERS Platform Based on the Twisted Mixing Microfluidic Chip and Multi-Modified Nanoprobe for the Label-Free Detection of Cancer Cells


Yang J. Ye Z. Xue Q. Li D. Liang M. Li G. Liu H. Yi L. Hu B. Yin P. Ge G. Dmitriy K. Maciuk A. Figadere B.
15 April 2025American Chemical Society

Analytical Chemistry
2025#97Issue 147789 - 7798 pp.

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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School of Life Science and Technology, Xidian University, Shaanxi, Xi’an, 710126, China
School of Mathematics and Physics Science and Engineering, Hebei University of Engineering, Hebei, Handan, 056038, China
Xi’an Intelligent Precision Diagnosis and Treatment International Science and Technology Cooperation Base, Shaanxi, Xi’an, 710126, China
Department of Breast Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Shaanxi, Xi’an, 710061, China
Institute of Life Sciences, Karaganda Medical University, Karaganda, 100008, Kazakhstan
BioCIS, CNRS, Université Paris-Saclay, Orsay, 91400, France

School of Life Science and Technology
School of Mathematics and Physics Science and Engineering
Xi’an Intelligent Precision Diagnosis and Treatment International Science and Technology Cooperation Base
Department of Breast Surgery
Institute of Life Sciences
BioCIS

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