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Related Experiment Video

Updated: Oct 16, 2025

Microfluidic Production of Lysolipid-Containing Temperature-Sensitive Liposomes
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A Systematic Approach for Liposome and Lipodisk Preclinical Formulation Development by Microfluidic Technology.

Elizabeth S Levy1, Jesse Yu2, Alberto Estevez3

  • 1Small Molecule Pharmaceutical Sciences, Genentech Inc., 1 DNA Way, South San Francisco, California, 94080, USA.

The AAPS Journal
|October 15, 2021
PubMed
Summary

This study introduces a decision tree to optimize lipid nanoparticle drug delivery systems, improving encapsulation efficiency (EE) for various compounds. It guides efficient formulation development, reducing waste and accelerating preclinical drug development.

Keywords:
drug deliveryformulation decision treelipodiskliposomemicrofluidic

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Area of Science:

  • Drug Delivery and Nanotechnology
  • Pharmaceutical Sciences
  • Biophysical Chemistry

Background:

  • Lipid nanoparticles (LNPs) are crucial for enhancing therapeutic drug performance, but their development, particularly for complex systems like liposomes, is material and time-intensive.
  • Optimizing encapsulation efficiency (EE) is vital for the commercial viability of LNP-based therapeutics.
  • Existing methods for LNP formulation can be resource-intensive, necessitating more efficient development strategies.

Purpose of the Study:

  • To develop a decision tree to guide the optimization of encapsulation efficiency (EE) for liposome and lipodisk formulations.
  • To investigate the relationship between compound physicochemical properties (e.g., Log P) and their encapsulation efficiency in different lipid-based drug delivery systems.
  • To establish a systematic approach for resourceful formulation development of lipid-based drug delivery systems.

Main Methods:

  • Utilized microfluidic techniques for reproducible fabrication of liposome and lipodisk formulations.
  • Employed a range of model compounds with diverse physicochemical properties, including varying Log P values.
  • Systematically altered drug/lipid (D/L) ratios and polyethylene glycol (PEG) lipid concentrations to assess their impact on EE.

Main Results:

  • Higher Log P compounds (e.g., curcumin) showed high EE in liposomes, influenced by D/L ratio.
  • Moderate Log P compounds (e.g., cyclosporine A, dexamethasone) exhibited higher EE in lipodisks due to increased PEG lipid content.
  • Low Log P compounds (e.g., acyclovir) consistently displayed low EE across tested conditions.
  • Curcumin-loaded liposomes and lipodisks demonstrated improved in vivo pharmacokinetic performance in rats compared to conventional formulations.

Conclusions:

  • The developed decision tree provides systematic guidance for optimizing EE in lipid-based drug delivery systems.
  • Understanding compound physicochemical properties is key to selecting the appropriate LNP formulation (liposome vs. lipodisk) for efficient drug loading.
  • This approach facilitates resourceful development, minimizes drug waste, and accelerates preclinical development for industrial compounds.