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Updated: Jun 20, 2025

Formation of Dispersible Taohong Siwu Tablets
Published on: February 3, 2023
Modeling moisture change of packaged dry tablet dosage forms under consumer use condition
1Department of Pharmaceutical Engineering, Kyungnam University, Changwon, South Korea.
A mathematical model predicts dry tablet moisture content during consumer use, aiding in-use shelf life (ISL) determination. This tool helps ensure product quality and guides storage management for extended product viability.
Area of Science:
- Materials Science
- Chemical Engineering
- Food Science
Background:
- Determining the in-use shelf life (ISL) of dry solid products is crucial for maintaining quality.
- Consumer handling, involving product removal, significantly impacts internal product moisture levels.
- Existing methods for ISL determination often lack precision, necessitating advanced predictive tools.
Purpose of the Study:
- To develop and validate a mathematical model for predicting moisture content in dry solid tablets during consumer use.
- To establish a science-based approach for accurate ISL determination.
- To provide a tool for optimizing product packaging and management strategies.
Main Methods:
- Developed a mathematical model integrating product moisture sorption isotherms and package moisture transmission.
- Incorporated a mass balance equation accounting for the amount of product remaining in the package.
- Validated the model using literature data (desiccant canisters) and experimental data (refresher candies) under various environmental conditions.
Main Results:
- The model accurately predicted moisture content in dry solid tablets under simulated in-use conditions.
- Validation against literature data (desiccants) and experimental data (candies) confirmed model efficacy.
- The model demonstrated capability in predicting moisture changes at 76% and 90% relative humidity.
Conclusions:
- The developed mathematical model offers a reliable method for predicting in-use moisture content in dry solid products.
- This model facilitates accurate, science-based determination of in-use shelf life (ISL), serving as a consumer guideline.
- The model is valuable for recommending product management schemes throughout the entire product lifecycle.
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