SERS-Based Droplet Microfluidic Platform for Sensitive and High-Throughput Detection of Cancer Exosomes
Exosomes, nanosized extracellular vesicles containing biomolecular cargo, are increasingly recognized as promising noninvasive biomarkers for cancer diagnosis, particularly for their role in carrying tumor-specific molecular information. Traditional methods for exosome detection face challenges such as complexity, time consumption, and the need for sophisticated equipment. This study addresses these challenges by introducing a novel droplet microfluidic platform integrated with a surface-enhanced Raman spectroscopy (SERS)-based aptasensor for the rapid and sensitive detection of HER2-positive exosomes from breast cancer cells. Our approach utilized an on-chip salt-induced gold nanoparticles (GNPs) aggregation process in the presence of HER2 aptamers and HER2-positive exosomes, enhancing the hot spot-based SERS signal amplification. This platform achieved a limit of detection of 4.5 log<sub>10</sub> particles/mL with a sample-to-result time of 5 min per sample. Moreover, this platform has been successfully applied for HER2 status testing in clinical samples to distinguish HER2-positive breast cancer patients from HER2-negative breast cancer patients. High sensitivity, specificity, and the potential for high-throughput screening of specific tumor exosomes make this SERS-based droplet system a potential liquid biopsy technology for early cancer diagnosis.
Authors
- Kunpeng Hu
- Jingyu Shi (ORCID: https://orcid.org/0000-0001-7650-8212)
- Ching Ying Katherine Lam (ORCID: https://orcid.org/0000-0002-1207-212X)
- Xijing Yan (ORCID: https://orcid.org/0000-0001-8406-4287)
- Mo Yang (ORCID: https://orcid.org/0000-0002-3863-8187)
- Wen Yin (ORCID: https://orcid.org/0000-0002-8108-1951)
- Yutian Gu (ORCID: https://orcid.org/0000-0003-0226-386X)
- Jiaxiang Yan (ORCID: https://orcid.org/0000-0002-0678-3072)
- Ruolin Zhang (ORCID: https://orcid.org/0000-0003-0462-0955)
- Haitian Chen (ORCID: https://orcid.org/0000-0002-0533-6983)
- Kwun Hei Willis Ho
- Huang Lai
Institutions
- Hong Kong Polytechnic University (HK)
- Sun Yat-sen University (CN)
- Shenzhen Polytechnic University (CN)
- Key Laboratory of Guangdong Province (CN)
- Third Affiliated Hospital of Sun Yat-sen University (CN)
Publication Details
- Journal
- ACS Sensors
- Published
- 2024-09-05
- DOI
- https://doi.org/10.1021/acssensors.4c01357
- Citations
- 51
- Primary Topic
- Extracellular vesicles in disease
- Type
- article
- Field-Weighted Citation Impact
- 11.92
Funders
- Research Grants Council, University Grants Committee
- Hong Kong Polytechnic University