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Hierarchial model approach and experimental validation for typical drug discovery system dissolution profile predictions (ModelDrug)

Project/agreement No.
lzp-2023/1-0078
Project funding
300 000.00 EUR, co-financing by the project's cooperation partner, the University of Latvia: 137 055.00 EUR
Project manager
Project realization
01.01.2024. - 31.12.2026.

Aim

The project’s overall aim is to create a drug dissolution model based on the application of surrogate modelling by applying Computational Fluid Dynamics (CFD), and drug release/disintegration kinetics approaches to reduce resources (human, chemical, etc.) and environmental impacts.

Description

The project scientific objectives of the proposed 3-year project are:

  1. to define experiment and model variables based on Drug Release Model (DRM) Tablet parameters, DRM calibration, CFD model, and drug release kinetics variables;
  2. to develop a surrogate model based on the CFD simulations for USP1 and USP2 dissolution apparatus and develop a kinetic model for predicting drug release profiles;
  3. to develop a fast simulation toolkit for rapid reliable targeted drug delivery system design.

The research project will focus on a modelling of a meaningful and predictive dissolution process for drug delivery systems to reduce experimental effort and increase the quality of planning experiments and model building. To implement the ModelDrug Project and to reach a meaningful dissolution process we will use two main factors that influence the processes in the drug delivery: diffusion and dissolution flow around the drug product, and kinetics of dissolution/disintegration. The ModelDrug project will study and model these processes separately and then combine them into one common model. The developed toolkit ModelDrugSmart will be applicable to simplify pharmaceutical manufacturing and future 3D drug release systems.

Outcomes to be achieved

  • Four original scientific articles submitted to journals included in WoS/SCOPUS databases;
  • participation in at least six international scientific conferences;
  • the development of one data set;
  • one project proposal application submitted to an international or national research and development project call;
  • successful defence of two master's theses.

Project-related activities

Conferences

Project-related student theses

  • Melisa Krūkle, “Optimization of Drug Release Profiles Using Hydrogel-Based Drug Delivery Systems: Challenges and Perspectives” (defended on 8 May 2026; supervisor: Dr. sc. ing. Agnese Brangule).
  • Alinur Ahmadli, “Application of Proper Orthogonal Decomposition for Analyzing Flow Dynamics in a USP2 Dissolution Apparatus” (defended on 22 January 2026; supervisor: Sabine Upnere).
  • Iluta Zigure, “Optimization of Drug Delivery Systems by Modeling Dissolution Processes” (defended on 18 May 2025; supervisor: Dr. sc. ing. Agnese Brangule). 

Other activities

Media