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A Workflow for Lipid Nanoparticle (LNP) Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models (SVEM)
JoVE 杂志
化学
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JoVE 杂志 化学
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:
10.3791/65200-v

•

13:54 min

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August 18, 2023

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, , ,
1Adsurgo, LLC, 2Arcturus Therapeutics

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

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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.

Tags

Lipid Nanoparticle FormulationExperimental DesignMixture-process ExperimentsSelf-validated Ensemble ModelsResponse Surface OptimizationFormulation OptimizationWorkflow

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