Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Synthesis and functionalization of scalable and versatile 2D protein films via amyloid-like aggregation.

Nature protocols·2023
Same author

PROCESS Trial: Effect of Duloxetine Premedication for Postherpetic Neuralgia Within 72 Hours of Herpes Zoster Reactivation-A Randomized Controlled Trial.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2023
Same author

Polymerized PEI-modified lignin polyphenolic materials by acid hydrolysis-phase separation for removal of Cr (VI) from industrial wastewater.

International journal of biological macromolecules·2023
Same author

IDO-1 impairs antitumor immunity of natural killer cells in triple-negative breast cancer via up-regulation of HLA-G.

Breast cancer (Tokyo, Japan)·2023
Same author

A genomic catalogue of soil microbiomes boosts mining of biodiversity and genetic resources.

Nature communications·2023
Same author

Water-Soluble Azobenzene-Based Solar Thermal Fuels with Improved Long-Term Energy Storage and Energy Density.

ACS applied materials & interfaces·2023

Related Experiment Video

Updated: Sep 19, 2025

Synthesis of Monodisperse Cylindrical Nanoparticles via Crystallization-driven Self-assembly of Biodegradable Block Copolymers
11:42

Synthesis of Monodisperse Cylindrical Nanoparticles via Crystallization-driven Self-assembly of Biodegradable Block Copolymers

Published on: June 20, 2019

7.9K

Application of multi-objective optimization algorithm to the preparation of polycaprolactone microsphere

Yuchao Qiao1, Shuhui Kang2, Yijia Wu1

  • 1Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China.

International Journal of Pharmaceutics
|June 15, 2025
PubMed
Summary

Optimized polycaprolactone microsphere (PCL-MS) formulations using intelligent algorithms achieved smaller particle sizes and narrower distributions. These PCL-MS preparations enhance tissue filling and therapeutic effects, accelerating development.

Keywords:
Intelligent optimization algorithmMulti-objective optimizationPolycaprolactonePolymer microsphereTissue filler

More Related Videos

Preparation and Characterization of Individual and Multi-drug Loaded Physically Entrapped Polymeric Micelles
07:32

Preparation and Characterization of Individual and Multi-drug Loaded Physically Entrapped Polymeric Micelles

Published on: August 28, 2015

11.4K
Fabricating Highly Open Porous Microspheres HOPMs via Microfluidic Technology
05:21

Fabricating Highly Open Porous Microspheres HOPMs via Microfluidic Technology

Published on: May 16, 2022

3.0K

Related Experiment Videos

Last Updated: Sep 19, 2025

Synthesis of Monodisperse Cylindrical Nanoparticles via Crystallization-driven Self-assembly of Biodegradable Block Copolymers
11:42

Synthesis of Monodisperse Cylindrical Nanoparticles via Crystallization-driven Self-assembly of Biodegradable Block Copolymers

Published on: June 20, 2019

7.9K
Preparation and Characterization of Individual and Multi-drug Loaded Physically Entrapped Polymeric Micelles
07:32

Preparation and Characterization of Individual and Multi-drug Loaded Physically Entrapped Polymeric Micelles

Published on: August 28, 2015

11.4K
Fabricating Highly Open Porous Microspheres HOPMs via Microfluidic Technology
05:21

Fabricating Highly Open Porous Microspheres HOPMs via Microfluidic Technology

Published on: May 16, 2022

3.0K

Area of Science:

  • Materials Science
  • Biomedical Engineering
  • Formulation Science

Background:

  • Polycaprolactone microspheres (PCL-MS) are vital for tissue filling applications.
  • Particle size and uniformity critically influence PCL-MS efficacy in filling and therapeutic outcomes.
  • Efficient optimization strategies are crucial for advancing PCL-MS development.

Purpose of the Study:

  • To optimize polycaprolactone microsphere (PCL-MS) preparation using advanced design and intelligent algorithms.
  • To develop mathematical models predicting PCL-MS particle size and distribution width.
  • To identify optimal PCL-MS formulations for improved therapeutic applications.

Main Methods:

  • Box-Behnken design was employed to study PCL concentration, polyvinyl alcohol concentration, and water-oil ratio.
  • Mathematical models were developed to predict particle size (Y1) and particle size distribution width (Y2).
  • Multi-objective optimization was performed using Nondominated Sorting Genetic Algorithm-II (NSGA-II) and Multi-Objective Artificial Hummingbird Algorithm (MOAHA).

Main Results:

  • Two optimal preparation schemes were identified from Pareto solution sets generated by NSGA-II and MOAHA.
  • Experimental validation confirmed predicted values for particle size and distribution width with deviations under 5%.
  • All optimized protocols met target requirements, demonstrating suitability for PCL-MS preparation.

Conclusions:

  • Box-Behnken design combined with intelligent optimization yielded three effective PCL-MS formulations.
  • The developed formulations facilitate the production of PCL-MS with reduced particle size and narrower distributions.
  • This study significantly advances PCL-MS formulation development for enhanced therapeutic applications.