Vertical numbering-up microfluidic architecture for scalable and homogeneous lipid nanoparticle production

Abstract

Lipid nanoparticles (LNPs) are a key platform for nucleic acid delivery, but their industrial-scale production remains a critical bottleneck. While microfluidics ensures high-quality LNP production, conventional single layer strategies suffer from low throughput. Existing scaling strategies, like parallel or 3D devices, face limitations in flow distribution and fabrication complexity, failing to balance throughput with LNP quality. Here, we report a robust, vertically stacked microfluidic cartridge (VeSMiC) fabricated using polycarbonate (PC) that successfully addresses the flow distribution challenge. This platform integrates a hydrodynamic tapered inlet structure, ensuring uniform flow partitioning across layers, with re-Tesla mixers for rapid synthesis. A five-layer device was scalable fabricated using a two-step surface modification and a robust bonding method. This device enabled stable operation at a high total flow rate (0.96 L/hour) operation and increased LNP throughput 7-fold compared to single channel. Critically, this high throughput did not compromise quality, LNPs consistently maintained an average size of 100-150 nm, a low polydispersity index (PDI) below 0.12, and high encapsulation efficiency above 96%. Furthermore, they also demonstrated significant therapeutic efficacy in an in vitro wound model. Notably, an 80-cartridge platform is projected to achieve a production flow rate of approximately 80 L/hour, validating this platform as a viable solution for industrial-scale LNP manufacturing.

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Article information

Article type
Paper
Submitted
07 Dec 2025
Accepted
17 Mar 2026
First published
20 Mar 2026
This article is Open Access
Creative Commons BY-NC license

Lab Chip, 2026, Accepted Manuscript

Vertical numbering-up microfluidic architecture for scalable and homogeneous lipid nanoparticle production

H. Jung, Z. Zhang, J. Kim, J. Hwang, H. Seo, G. Kim, S. Choi and K. Hyun, Lab Chip, 2026, Accepted Manuscript , DOI: 10.1039/D5LC01130B

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