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
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.
Authors
- Bo Hu (ORCID: https://orcid.org/0000-0001-5193-3511)
- Ziyun Ye
- Guoqian Li
- Langlang Yi
- Minghui Liang (ORCID: https://orcid.org/0000-0001-6132-5042)
- Pengju Yin (ORCID: https://orcid.org/0000-0001-8304-2887)
- Qilu Xue
- Bruno Figadère (ORCID: https://orcid.org/0000-0003-4226-8489)
- Dandan Li (ORCID: https://orcid.org/0000-0003-1495-4297)
- Huanhuan Liu (ORCID: https://orcid.org/0000-0002-3797-0364)
- Jiaqi Yang (ORCID: https://orcid.org/0000-0002-0328-9028)
- Guanqun Ge
- Alexandre Maciuk (ORCID: https://orcid.org/0000-0003-1436-6436)
- Klyuyev Dmitriy
Institutions
- Hebei University of Engineering (CN)
- Xidian University (CN)
- Université Paris-Saclay (FR)
- China International Science and Technology Cooperation (CN)
- Karaganda Medical University (KZ)
- Institute of Life Sciences (IN)
- First Affiliated Hospital of Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Analytical Chemistry
- Published
- 2025-04-04
- DOI
- https://doi.org/10.1021/acs.analchem.4c06051
- Citations
- 4
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 2.70
Funders
- National Natural Science Foundation of China
- Xidian University