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Updated: Jun 17, 2026

Isolation of Adeno-Associated Viral Vectors Through a Single-Step and Semi-Automated Heparin Affinity Chromatography Protocol
Published on: April 5, 2024
Adeno-associated viral vector purification using a centrifugal microfluidic system: towards workflow automation for
Matthias Geissler1,2, Lidija Malic1,2, Liviu Clime1,2
1Medical Devices Research Centre, National Research Council of Canada, 75 de Mortagne Boulevard, Boucherville, QC, J4B 6Y4, Canada. matthias.geissler@cnrc-nrc.gc.ca.
Abstract:
This paper describes the development of an integrated assay for the purification of adeno-associated virus (AAV) particles from crude lysate using a microfluidic cartridge and a centrifugal platform that enables pneumatic actuation of liquids during rotation. The cartridge features POROS™ CaptureSelect™ AAVX Affinity Resin as a solid-phase extraction (SPE) matrix and a layout that is compatible with workflow automation and low-volume sample processing. The integrated process takes ∼30 to 60 min depending on the input volume and comprises 22 consecutive steps, starting with crude lysate and ending with an AAV sample conditioned for downstream analysis or long-term storage. Numerical simulations, conducted as part of the design validation, reveal uniform flow across the SPE matrix for both in-plane and out-of-plane orientations. The performance of the system is demonstrated using AAV8 with volumes ranging from 50 to 500 μL. The on-chip purification process generally shows higher extraction efficiency than a benchmark procedure performed manually using spin columns. The capacity to remove plasmid DNA is validated using samples with calibrated spike-in concentration that were analyzed by qPCR, suggesting depletion of >99.99%. Biological activity of purified AAV particles was assessed in a transduction assay involving human embryonic kidney cells and recombinant AAV2 expressing green fluorescent protein. The platform's compatibility with low-volume production addresses gaps in current gene therapy manufacturing pipelines, underscoring its potential to streamline quality assurance protocols, reduce manual intervention, and accelerate scalable AAV production.
