4.7 Article

Electroformed Inverse-Opal Nanostructures for Surface-Marker-Specific Isolation of Extracellular Vesicles Directly from Complex Media

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ADVANCED MATERIALS TECHNOLOGIES
卷 -, 期 -, 页码 -

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WILEY
DOI: 10.1002/admt.202201622

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extracellular vesicles; microfluidics; nanofluidics; nanoparticles; self-assembled materials

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Extracellular vesicles (EVs) are nanoscale membranous particles that have potential as biomarkers. Researchers have developed a novel approach to isolate sparse EVs from clinical samples by incorporating billions of nanomagnetic sorters that act in parallel at high flow rates. This method increases the yield and purity of EVs and has the potential to enable rapid, sensitive, and specific isolation of EV subpopulations from clinical samples.
Extracellular vesicles (EVs) - nanoscale membranous particles that carry multiple proteins and nucleic acid cargoes from their mother cells of origin into circulation - have enormous potential as biomarkers. However, devices appropriately scaled to the nanoscale to match the size of EVs (30-200 nm) have orders of magnitude too low throughput to process clinical samples (10(12) EVs mL(-1) in serum). To address this challenge, we develop a novel approach that incorporates billions of nanomagnetic sorters that act in parallel to precisely isolate sparse EVs based on immunomagnetic labeling directly from clinical samples at flow rates billions of times greater than that of a single nanofluidic device. To fabricate these chips, the ferromagnetic metals are electro-deposited into a self-assembled microlattice, achieving >10(9) nanoscale magnetophoretic sorting devices in a 3D postage stamp-sized lattice with >70x magnetic traps and >20x enrichment of magnetic nanoparticles versus our previous work. The immunomagnetically labeled EVs are isolated and achieve a approximate to 100% increase in yield as well as increased purity compared to conventional methods. Building on the proof-of-concept demonstrations in this manuscript, this new approach has the potential to enhance the future clinical translation of EV biomarkers by enabling rapid, sensitive, and specific isolation of EV subpopulations from clinical samples.

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