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Rapid Characterization and Quantification of Extracellular Vesicles by Fluorescence‐Based Microfluidic Diffusion Sizing
- Source :
- Advanced Healthcare Materials; March 2022, Vol. 11 Issue: 5
- Publication Year :
- 2022
-
Abstract
- Extracellular vesicles (EVs) are emerging as promising diagnostic and therapeutic tools for a variety of diseases. The characterization of EVs requires a series of orthogonal techniques that are overall time‐ and material‐consuming. Here, a microfluidic device is presented that exploits the combination of diffusion sizing and multiwavelength fluorescence detection to simultaneously provide information on EV size, concentration, and composition. The latter is achieved with the nonspecific staining of lipids and proteins combined with the specific staining of EV markers such as EV‐associated tetraspanins via antibodies. The device can be operated as a single‐step immunoassay thanks to the integrated separation and quantification of free and EV‐bound fluorophores. This microfluidic technique is capable of detecting and quantifying components associated to EV subtypes and impurities and thus to measure EV purity in a time scale of minutes, requiring less than 5 µL of sample and minimal sample handling before the analysis. Moreover, the analysis is performed directly in solution without immobilization steps. Therefore, this method can accelerate screening of EV samples and aid the evaluation of sample reproducibility, representing an important complementary tool to the current array of biophysical methods for EV characterization, particularly valuable for instance for bioprocess development. A crucial step to optimize large‐scale production of extracellular vesicles (EVs) is the development of characterization techniques capable of simultaneously monitoring physical and biochemical properties of EVs with high throughput. Here, a microfluidic technique is presented that can detect particle subpopulations, quantify their biomarkers, and measure their purity in a time scale of minutes and with no sample pretreatments.
Details
- Language :
- English
- ISSN :
- 21922640 and 21922659
- Volume :
- 11
- Issue :
- 5
- Database :
- Supplemental Index
- Journal :
- Advanced Healthcare Materials
- Publication Type :
- Periodical
- Accession number :
- ejs59060806
- Full Text :
- https://doi.org/10.1002/adhm.202100021