Suppr超能文献

呼吸科学中的增材制造——当前应用与未来前景。

Additive manufacturing in respiratory sciences - Current applications and future prospects.

作者信息

Bock Simon, Rades Thomas, Rantanen Jukka, Scherließ Regina

机构信息

Department of Pharmaceutics and Biopharmaceutics, Kiel University, Gutenbergstrasse 76, 24118 Kiel, Germany.

Department of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark.

出版信息

Adv Drug Deliv Rev. 2022 Jul;186:114341. doi: 10.1016/j.addr.2022.114341. Epub 2022 May 13.

Abstract

Additive Manufacturing (AM) comprises a variety of techniques that enable fabrication of customised objects with specific attributes. The versatility of AM procedures and constant technological improvements allow for their application in the development of medicinal products and medical devices. This review provides an overview of AM applications related to respiratory sciences. For this purpose, both fields of research are briefly introduced and the potential benefits of integrating AM to respiratory sciences at different levels of pharmaceutical development are highlighted. Tailored manufacturing of microstructures as a particle design approach in respiratory drug delivery will be discussed. At the dosage form level, we exemplify AM as an important link in the iterative loop of data driven inhaler design, rapid prototyping and in vitro testing. This review also presents the application of bioprinting in the respiratory field for design of biorelevant in vitro cellular models, followed by an overview of AM-related processes in preventive and therapeutic care. Finally, this review discusses future prospects of AM as a component in a digital health environment.

摘要

增材制造(AM)包含多种技术,可用于制造具有特定属性的定制物体。增材制造工艺的多功能性以及不断的技术改进使其能够应用于医药产品和医疗设备的开发。本综述概述了与呼吸科学相关的增材制造应用。为此,简要介绍了这两个研究领域,并强调了在药物开发的不同阶段将增材制造整合到呼吸科学中的潜在益处。将讨论作为呼吸药物递送中颗粒设计方法的微结构定制制造。在剂型层面,我们举例说明增材制造是数据驱动的吸入器设计、快速原型制作和体外测试迭代循环中的重要环节。本综述还介绍了生物打印在呼吸领域用于设计生物相关体外细胞模型的应用,随后概述了增材制造在预防和治疗护理中的相关过程。最后,本综述讨论了增材制造作为数字健康环境组成部分的未来前景。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验