journal article·2025Open access

Magnetically driven lipid vesicles for directed motion and light-triggered cargo release

Vinit Kumar Malik, Chih-Tang Liao, Chenghao Xu, Abdallah Daddi-Moussa-Ider, On Shun Pak, Yuan-Nan Young, Jie Feng

Nanoscale· Volume 17· Issue 22

Abstract

Targeted drug delivery and precision medicine offer great promise for enhancing therapeutic efficacy while minimizing systemic toxicity. Among various platforms, lipid-based delivery systems have attracted significant interest due to their intrinsic biocompatibility and their ability to transport hydrophilic, hydrophobic, and amphiphilic compounds. With recent advances in bottom-up synthetic biology and microfluidics, giant unilamellar vesicles (GUVs) have emerged as a versatile candidate for drug delivery. However, achieving controlled and directed motion of GUVs remains a critical challenge. In this study, we conduct a systematic experimental investigation of GUVs encapsulating magnetic particles (magGUVs) subjected to inhomogeneous magnetic fields. We develop a lattice Boltzmann simulation framework to model the propulsion of GUVs driven by an internally encapsulated particle under a constant force, and compare the simulated speeds with experimental measurements. Furthermore, we demonstrate a proof-of-concept integrating directed motion of magGUVs with controlled, localized release of encapsulated contents via light-induced asymmetric oxidation. This work provides a foundation for the design of lipid-based drug delivery vehicles that combine navigational control with on-demand release capabilities, advancing targeted therapeutic strategies in precision medicine.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Astro and Planetary Science

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801 USA

Department of Mechanical Engineering, Santa Clara University, Santa Clara, CA, 95053 USA

School of Mathematics and Statistics, The Open University, Walton Hall, Milton Keynes, MK7 6AA UK

Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, NJ, 07102 USA

Funding

Division of Chemical, Bioengineering, Environmental, and Transport Systems · Division of Mathematical Sciences

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