Related Experiment Video
Updated: Aug 5, 2026

Solubility of Hydrophobic Compounds in Aqueous Solution Using Combinations of Self-assembling Peptide and Amino Acid
Published on: September 20, 2017
Formulation optimization of controlled-release pellets of metoclopramide hydrochloride using dissolution fit factor
1School of Pharmacy, National Defense Medical Center, Taipei, Taiwan, ROC.
Abstract:
The purpose of this study was to optimize the formulation variables for the preparation of ethyl cellulose-coated nonpareils loaded with metoclopramide hydrochloride (MCL). The approach to evaluate the effectiveness of formulation parameters was monitored by release rate testing using dissolution fit factors as a tool. The content of ethyl cellulose used in the formulation was based on the drug-loaded weight. The interrelationship of each developed formulation and the reference formulation Gastro-Timelets and their respective dissolution curves were evaluated using Moore's equation: [equation: see text]. The relationship between the ethyl cellulose content in the formulation and the dissolution fit factor f2 can be described as the following regression equation: Y = -0.054X2 + 3.347X - 1.915 (r2 = 0.99). The optimum ethyl cellulose content obtained from the equation was 30.8%. The type and content of plasticizer used in the formulation to achieve the greatest f2 were determined to be Myvacet 9-40 at the concentration of 25%. Results indicated that using the release rate testing approach with the dissolution fit factor as a tool could provide valuable information for formulation optimization.
Related Concept Videos
Factors Influencing Drug Absorption: Pharmaceutical Parameters
Factors Affecting Dissolution: Particle Size and Effective Surface Area
Factors Affecting Dissolution: Drug Permeability, Stability and Stereochemistry
Drug Dissolution: Requirements and Profile Comparison
Pharmaceutical Alternatives: Polymorphic Form-Related and Particle Size-Related Therapeutic Nonequivalence
Modified-Release Drug Delivery Systems: Influencing Factors

