Journal
LAB ON A CHIP
Volume 19, Issue 17, Pages 2897-2904Publisher
ROYAL SOC CHEMISTRY
DOI: 10.1039/c9lc00445a
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Funding
- Chinese Recruitment Program of Global Experts
- Innovative and Entrepreneurial Talent Recruitment Program of Jiangsu Province
- National Natural Science Foundation of China [21635001]
- State Key Project of Research and Development [2016YFF0100802]
- Fundamental Research Funds for the Central Universities [2242018K41023]
- Excellence Project of Southeast University
- Key Project of State Key Laboratory of Bioelectronics, Southeast University
- Open Research Fund of State Key Laboratory of Bioelectronics, Southeast University
- National Natural Scientific Foundation of China [61741114]
- Jiangsu Province Medical Talent [ZDRCA2016065]
- Medical Key Science and Technology Development Projects of Nanjing [ZKX16045]
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Extracellular vesicles (EVs), involved in many diseases and pathophysiological processes, have emerged as potential biomarkers for cancer diagnosis. However, efficient isolation and detection of EVs still remain challenging. Here, we report an integrated chip for isolation of EVs with a double-filtration unit and ultrasensitive detection using photonic crystal (PC) nanostructure. Nanofiltration membranes were integrated into the device to isolate and enrich the EVs of 20-200 nm in size based on size-exclusion. Then, CD63 aptamers were used to combine the EVs on the nanofiltration membrane with a pore size of 20 nm, and excess aptamers passed through the membrane to bind with CD63 immobilized on the PC nanostructure. Benefitting from the fluorescence enhancement effect of the PC nanostructure in competition assays, the EVs could be quantified sensitively by analyzing the concentration of excess aptamers. Due to the high sensitivity, the limit of detection was as low as 8.9 x 10(3) EVs per mL with a low sample consumption of only 20 mu L. Furthermore, serum samples from breast cancer patients and healthy donors could be successfully distinguished. Thus, this microfluidic chip provides an effective method for pre-screening of cancer in clinical samples.
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