Automated and Parallelized Microfluidic Generation of Large and Precisely Defined Lipid Nanoparticle Libraries
Year: 2025
Type: article
Abstract: Lipid nanoparticles (LNPs) are being developed for a broad set of therapeutic applications by changing both the structures of the lipids used to formulate each LNP and their relative proportions. Because lipid synthesis and in vivo screening have been parallelized using combinatorial chemistry and LNP barcoding, respectively, the manual and sequential microfluidic formulation of LNPs remains the primary rate-limiting step during early-stage discovery. In this work, we present a parallelized, automated microfluidic platform capable of generating large, precisely defined LNP libraries in parallel, with throughput on the order of 1000 distinct formulations per hour. Each formulation is defined by varying the reagent flow ratios into one of eight microscale mixers using lithographically encoded fluidic resistors and dynamically controlled external pressure supplies. The microfluidic chip is integrated with custom robotic plate handling for the rapid collection of each distinct formulation. To evaluate this platform, we characterized 96 formulations generated on-chip in terms of both physicochemical properties and transfection efficiency in vitro. We further validated our lead candidate against the state of the art in vivo. We demonstrate the ability to rapidly discover a formulation and scale its production to liters per hour under identical mixing conditions, bridging from early discovery to manufacturing through microfluidic parallelization.
Source: ACS Nano
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Funders: National Science Foundation, American Cancer Society, Burroughs Wellcome Fund, Cystic Fibrosis Foundation, University of Pennsylvania, National Institutes of Health, Materials Research Science and Engineering Center, Harvard University, National Institute of Dental and Craniofacial Research, Division of Materials Research, Division of Chemical, Bioengineering, Environmental, and Transport Systems, National Science Foundation Graduate Research Fellowship Program, Wellcome Leap
Awards: A data-driven drug delivery (4D) platform for probing and treating the chemoresistant bone marrow microenvironment, G1343596579, G185654730, G1977085870, G2119224706, G2668994852, Bone marrow vascular microenvironment combination RNAi-bortezomib nanotherapy for multiple myeloma, G6671297155, CAREER: Nanoparticle mRNA and DNA Immunoengineering of Macrophages for Solid Tumor Targeting, G8332625333, Advanced Training at the Interface of Engineering and Oral-Craniofacial Sciences
OpenAlex ID: W7117368233
