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 Experiment Videos

Multivariate spline interpolation as a novel method to optimize pharmaceutical formulations.

K Takayama1, Y Obata, M Morishita

  • 1Department of Pharmaceutics, Hoshi University, Ebara, Shinagawa, Tokyo, Japan.

Die Pharmazie
|June 24, 2004
PubMed
Summary
This summary is machine-generated.

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

Fiber shaft extension in combination with HI loop ligands augments infectivity for CAR-negative tumor targets but does not enhance hepatotropism in vivo.

Gene therapy·2002
Same author

Molecular genotyping of isolates of Actinobacillus actinomycetemcomitans by pulsed-field gel electrophoresis after separate digestion with Sse8387I and XhoI.

Journal of basic microbiology·2002
Same author

The enhancing effect of nasal absorption of FITC-dextran 4,400 by beta-sitosterol beta-D-glucoside in rabbits.

Journal of controlled release : official journal of the Controlled Release Society·2002
Same author

Release property of progesterone from a mixed-base suppository consisting of Witepsol W35 and Witepsol E85.

Drug development and industrial pharmacy·2002
Same author

Detection of early venous filling in gliomas on MRI: preliminary study by 2D time-resolved dynamic contrast-enhanced MR angiography with echo-sharing technique.

Magnetic resonance imaging·2002
Same author

Enhancement of fibrinolytics with a laser-induced liquid jet.

Lasers in surgery and medicine·2001

Multivariate spline interpolation (MSI) offers a new way to understand drug formulation relationships. This method was successfully applied to optimize a ketoprofen transdermal hydrogel, showing superior performance over traditional techniques.

Area of Science:

  • Pharmaceutical Sciences
  • Formulation Development
  • Computational Chemistry

Background:

  • Quantitative formulation design struggles to link causal factors with specific drug responses.
  • Multivariate spline interpolation (MSI) generates detailed response surfaces but lacks pharmaceutical applications.
  • Classical response surface methods have limitations in addressing complex optimization challenges.

Purpose of the Study:

  • To introduce and evaluate a novel multi-objective simultaneous optimization method incorporating MSI for pharmaceutical formulation.
  • To address the limitations of traditional response surface methodologies in quantitative formulation design.
  • To optimize a ketoprofen transdermal hydrogel formulation using the new MSI-integrated approach.

Main Methods:

Related Experiment Videos

  • Development of a multi-objective simultaneous optimization method integrating multivariate spline interpolation (MSI).
  • Application of the developed method to optimize a transdermal hydrogel formulation containing ketoprofen and chemical enhancers.
  • Utilizing MSI for rapid and detailed information generation on response surfaces.

    • Main Results:

    • The MSI approach provided rapid and detailed insights into the relationships between formulation factors and drug responses.
    • The newly developed optimization method successfully optimized the ketoprofen transdermal hydrogel formulation.
    • Results demonstrated the superior performance and potential of the MSI-integrated method in pharmaceutical applications.

    Conclusions:

    • The MSI-based multi-objective optimization method is a powerful tool for quantitative pharmaceutical formulation design.
    • This approach overcomes shortcomings of classical response surface methods, offering enhanced understanding and optimization capabilities.
    • The successful application to ketoprofen hydrogel highlights the broad potential of MSI in drug delivery system development.