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Numerical Tools for Predicting Drug Dissolution Profiles

预测药物溶出曲线的数值工具

基本信息

批准号：
9408999
负责人：
Taeshin Park
金额：
$ 45.09万
依托单位：
RES GROUP, INC.
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-07-01 至 2019-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9408999
关键词：
Algorithms Alpha Particles Area Behavior Binding Blood capillaries Chemicals Collaborations Complex Computer software Computers Coupled Data Development Drug Controls Drug Industry Drug Modelings Elements Engineering Environment Formulation Goals Graph Guidelines Kinetics Laboratories Liquid substance Literature Mechanics Methodology Methods Modeling Pharmaceutical Preparations Pharmacologic Substance Phase Physiological Porosity Process Property Reaction Research Personnel Scientist Small Business Technology Transfer Research Structure Surface Tablets Testing Time Universities Validation Variant Wettability base capillary cost drug production experience hydrodynamic flow hydrodynamic model improved innovation insight materials science meetings molecular dynamics multi-scale modeling novel therapeutics particle predictive tools prototype research and development simulation tablet formulation tool uptake

项目摘要

Project Summary: Numerical Tools for Predicting Drug Dissolution Profiles This STTR Phase II proposal describes the development of a modeling framework that combines a mesoscopic model for hydrodynamics with disintegration and dissolution kinetic models in order to accurately describe the dissolution behavior of tablets. The complexities of the tablet dissolution problem have led to the development of empirical methodologies being the widespread practice in the pharmaceutical industry. However, because of a lack of mechanistic information the process has to be repeated for each new formulation, and no insights can be gained from the test. This process adds to the cost and increases the time to market for new drugs. Our approach builds on our Phase I approach, where we used the Lattice Boltzmann model, and developed an innovative modular approach of incorporating the detailed dissolution kinetics such that we could study tablet dissolution. In this effort, we plan to include more realistic mechanisms such as disintegration into our framework. We will include details about the internal structure of the tablet: its porosity, tortuosity, and distribution of components. Liquid uptake will be modeled by including capillary effects, and material properties, such as wettabilities and surface energies will be included in our model. The goal is to develop a model that can be used by pharmaceutical researchers and formulation scientists, such that they can identify potential problems in tablet formulation.

项目概述：预测药物溶出谱的数值工具