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Related Experiment Video

Updated: Feb 27, 2026

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

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Published on: August 28, 2015

Computational Modeling of Polymeric Physicochemical Properties for Formulation Development of a Drug Containing Basic

Vinod L Gaikwad¹, Neela M Bhatia², Indrajeet Singhvi³

¹Department of Pharmaceutics, BVDU Poona College of Pharmacy, Pune, Maharashtra 411038, India.

Journal of Pharmaceutical Sciences

|July 10, 2017

Summary

Researchers developed predictive models linking polymer properties to drug formulation characteristics. These models can guide the design of glipizide tablets for desired release profiles, saving time and cost.

Keywords:

computational modeling dissolution physicochemical properties quantitative structure-property relationship transportability

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Assembly and Characterization of Polyelectrolyte Complex Micelles

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Last Updated: Feb 27, 2026

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Assembly and Characterization of Polyelectrolyte Complex Micelles

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Published on: March 2, 2020

Area of Science:

Pharmaceutical Sciences
Drug Delivery Systems
Computational Chemistry

Background:

Formulation development for drugs with basic heterocycles, like glipizide, requires understanding polymer-drug interactions.
Predictive models can optimize drug release profiles and reduce development costs.

Purpose of the Study:

To develop quantitative structure-property relationship (QSPR) models for predicting formulation properties.
To correlate polymeric descriptors with glipizide tablet characteristics.
To establish a predictive tool for formulations containing drugs with basic heterocycles.

Main Methods:

Preparation and evaluation of glipizide tablets using polymers for immediate, moderate, and extended release.
Analysis of dissolution kinetics using various models, identifying Korsmeyer-Peppas as the best fit.
Correlation of calculated polymeric descriptors with formulation properties to build QSPR models.

Main Results:

Korsmeyer-Peppas model best described the dissolution kinetics.
Drug release rate and hydrophobicity significantly influenced transportability.
Developed QSPR models demonstrated potential predictability for formulation properties.

Conclusions:

Predictive models successfully correlated polymeric properties with glipizide formulation characteristics.
The developed models can guide formulation composition for desired drug release and properties.
These models offer a valuable tool for efficient and cost-effective drug formulation development.