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

Abstract

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 (1012 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 >109 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 ≈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.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 29, 2023
Source ID
10.1002/admt.202201622

Entities

People

  • Andrew A. Lin
  • David Issadore
  • Erica L Carpenter
  • James H Pikul
  • Stephanie S Yee
  • Zhimin Jiang

Organizations

  • National Institutes of Health
  • National Science Foundation
  • United States Department of Defense
  • University of Pennsylvania

Tags

Fields of Study

  • Biology

Readers

  • Molecular and Cellular Biochemistry
  • Nanoscale Plasmonic Nanotechnology
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Biotechnology
  • Microelectronics