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Design of experiments for microencapsulation applications: A review.

Filipa Paulo1, Lúcia Santos1

  • 1LEPABE - Laboratory for Process Engineering, Environment, Biotechnology and Energy, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal.

Materials Science & Engineering. C, Materials for Biological Applications
|May 24, 2017
PubMed
Summary

This review explores design of experiments for microencapsulation, focusing on response surface methodologies. It highlights their importance for optimizing pharmaceutical and food applications for industrial scale-up.

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Area of Science:

  • Food Science
  • Pharmaceutical Science
  • Chemical Engineering

Background:

  • Microencapsulation is vital in food and pharma for ingredient protection, flavor masking, and controlled release.
  • Industrial scale implementation requires robust optimization processes.

Purpose of the Study:

  • To provide a background on design of experiments (DOE) in microencapsulation research.
  • To critically review response surface methodologies (RSM) for optimizing microencapsulation.
  • To survey recent optimization procedures in the field.

Main Methods:

  • Literature review focusing on design of experiments (DOE).
  • Critical analysis of response surface methodologies (RSM) applications.
  • Survey of optimization procedures in recent scientific publications.
Keywords:
Design of experimentsFood industryMicroencapsulationPharmaceutical industryScreening designSurface response methodology

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Main Results:

  • Response surface methodologies are a key tool for optimizing microencapsulation processes.
  • DOE principles are crucial for efficient and reproducible microencapsulation.
  • Recent literature shows a growing application of these optimization techniques.

Conclusions:

  • Effective implementation of microencapsulation at industrial scale relies on DOE and RSM.
  • These methodologies enhance the precision and success rate of microencapsulation research.
  • Further research should continue to refine and apply these optimization strategies.