Efficient isolation and sensitive quantification of extracellular vesicles based on an integrated ExoID-Chip using photonic crystals. Issue 17 (31st July 2019)

• Record Type: Journal Article
• Authors: Dong, Xing; Chi, Junjie; Zheng, Liuzheng; Ma, Biao; Li, Zhiyang; Wang, Su; Zhao, Chao; Liu, Hong
• Is Part Of: Lab on a chip. Volume 19:Issue 17(2019)
• Page Start: 2897
• Page End: 2904
• Publication Date: 2019-07-31
• Subjects: Miniature electronic equipment -- Periodicals; Combinatorial chemistry -- Periodicals; Biotechnology -- Periodicals; 543.0813
• DOI: 10.1039/c9lc00445a
• Languages: English
• ISSNs: 1473-0197

Abstract

Abstract : We proposed an integrated device for efficient isolation and ultrasensitive detection of extracellular vesicles for cancer pre-screening. Abstract : 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 × 10 3 EVs per mL with a low sample consumption of only 20 μL. 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.