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Related Experiment Videos

Crystalline solids.

S R Vippagunta1, H G Brittain, D J Grant

  • 1Department of Pharmaceutics, College of Pharmacy, University of Minnesota, Weaver-Densford Hall, 308 Harvard Street S.E., Minneapolis, MN 55455, USA.

Advanced Drug Delivery Reviews
|April 28, 2001
PubMed
Summary
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Understanding drug solid-state forms like polymorphs is crucial for stability and handling. Advances in computational tools and analytical methods aid in predicting and characterizing these crystalline structures.

Area of Science:

  • Pharmaceutical Science
  • Solid-State Chemistry
  • Materials Science

Background:

  • Drugs are often formulated as crystalline solids for stability and handling.
  • Crystalline solids can exist as polymorphs, solvates, or hydrates, influencing drug properties.
  • Phase transitions in solid-state forms can alter drug dissolution and transport.

Purpose of the Study:

  • To review recent advancements in predicting and characterizing drug polymorphs and solvates.
  • To highlight challenges faced by pharmaceutical scientists in solid-state drug development.
  • To anticipate future research directions in solid-state pharmaceutical science.

Main Methods:

  • Utilizing computational tools for predicting potential drug polymorphs from molecular structures.

Related Experiment Videos

  • Developing sensitive analytical methods for characterizing crystalline forms in dosage forms.
  • Reviewing literature on solid-state phase transitions and their impact on drug behavior.
  • Main Results:

    • Computational methods offer insights into the origins of polymorphism at the molecular level.
    • Advanced analytical techniques enable detailed characterization of various crystalline forms.
    • Understanding and controlling solid-state forms are key for optimal drug development.

    Conclusions:

    • Choosing the most stable drug form early in development is essential.
    • Continued research in prediction and characterization is vital for pharmaceutical innovation.
    • Future developments will likely focus on integrated computational and experimental approaches.