Department of Mechanical Engineering, Virginia Commonwealth University, Richmond, United States.
Adv Drug Deliv Rev. 2012 Mar 30;64(4):296-311. doi: 10.1016/j.addr.2011.05.009. Epub 2011 May 27.
This review discusses the application of computational models to simulate the transport and deposition of inhaled pharmaceutical aerosols from the site of particle or droplet formation to deposition within the respiratory tract. Traditional one-dimensional (1-D) whole-lung models are discussed briefly followed by a more in-depth review of three-dimensional (3-D) computational fluid dynamics (CFD) simulations. The review of CFD models is organized into sections covering transport and deposition within the inhaler device, the extrathoracic (oral and nasal) region, conducting airways, and alveolar space. For each section, a general review of significant contributions and advancements in the area of simulating pharmaceutical aerosols is provided followed by a more in-depth application or case study that highlights the challenges, utility, and benefits of in silico models. Specific applications presented include the optimization of an existing spray inhaler, development of charge-targeted delivery, specification of conditions for optimal nasal delivery, analysis of a new condensational delivery approach, and an evaluation of targeted delivery using magnetic aerosols. The review concludes with recommendations on the need for more refined model validations, use of a concurrent experimental and CFD approach for developing aerosol delivery systems, and development of a stochastic individual path (SIP) model of aerosol transport and deposition throughout the respiratory tract.
本文综述了计算模型在模拟吸入式药物气溶胶从粒子或液滴形成部位到呼吸道沉积过程中的传输和沉积的应用。简要讨论了传统的一维(1-D)全肺模型,然后深入综述了三维(3-D)计算流体动力学(CFD)模拟。CFD 模型的综述分为几节,涵盖了吸入装置内、胸外(口腔和鼻腔)区域、传导气道和肺泡空间的传输和沉积。对于每一节,提供了模拟药物气溶胶领域的重要贡献和进展的概述,然后介绍了更深入的应用或案例研究,突出了计算机模型的挑战、实用性和优势。具体的应用包括对现有喷雾吸入器的优化、带电荷靶向输送的开发、确定最佳鼻腔输送条件、新冷凝输送方法的分析以及使用磁性气溶胶进行靶向输送的评估。最后,本文就需要更精细的模型验证、将实验和 CFD 方法同时应用于开发气溶胶输送系统以及开发整个呼吸道气溶胶传输和沉积的随机个体路径(SIP)模型提出了建议。