Journal
/
/
A Workflow for Lipid Nanoparticle (LNP) Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models (SVEM)
JoVE Journal
Chemistry
Author Produced
A subscription to JoVE is required to view this content.  Sign in or start your free trial.
JoVE Journal Chemistry
A Workflow for Lipid Nanoparticle (LNP) Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models (SVEM)

A Workflow for Lipid Nanoparticle (LNP) Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models (SVEM)

DOI:

13:54 min

August 18, 2023

, , ,

Chapters

  • 00:04Introduction
  • 01:02Recording the Study Purpose, Responses, and Factors
  • 01:31Creation of the Design Table with a Space Filling Design
  • 04:08Running the Experiment
  • 04:22Analyzing the Experimental Results
  • 11:26Confirmation Runs
  • 12:26Representative Results
  • 13:30Conclusion

Summary

Automatic Translation

This protocol provides an approach to formulation optimization over mixture, continuous, and categorical study factors that minimizes subjective choices in the experimental design construction. For the analysis phase, an effective and easy-to-use modeling fitting procedure is employed.

Related Videos

Read Article