Suppr超能文献

先进微流控设备中的计算模拟:综述

Computational Simulations in Advanced Microfluidic Devices: A Review.

作者信息

Carvalho Violeta, Rodrigues Raquel O, Lima Rui A, Teixeira Senhorinha

机构信息

MEtRICs, Campus de Azurém, University of Minho, 4800-058 Guimarães, Portugal.

ALGORITMI, Campus de Azurém, University of Minho, 4800-058 Guimarães, Portugal.

出版信息

Micromachines (Basel). 2021 Sep 23;12(10):1149. doi: 10.3390/mi12101149.

Abstract

Numerical simulations have revolutionized research in several engineering areas by contributing to the understanding and improvement of several processes, being biomedical engineering one of them. Due to their potential, computational tools have gained visibility and have been increasingly used by several research groups as a supporting tool for the development of preclinical platforms as they allow studying, in a more detailed and faster way, phenomena that are difficult to study experimentally due to the complexity of biological processes present in these models-namely, heat transfer, shear stresses, diffusion processes, velocity fields, etc. There are several contributions already in the literature, and significant advances have been made in this field of research. This review provides the most recent progress in numerical studies on advanced microfluidic devices, such as organ-on-a-chip (OoC) devices, and how these studies can be helpful in enhancing our insight into the physical processes involved and in developing more effective OoC platforms. In general, it has been noticed that in some cases, the numerical studies performed have limitations that need to be improved, and in the majority of the studies, it is extremely difficult to replicate the data due to the lack of detail around the simulations carried out.

摘要

数值模拟通过促进对多个过程的理解和改进,彻底改变了多个工程领域的研究,生物医学工程就是其中之一。由于其潜力,计算工具已受到关注,并被多个研究小组越来越多地用作临床前平台开发的支持工具,因为它们能够以更详细、更快的方式研究由于这些模型中存在的生物过程的复杂性而难以通过实验研究的现象,即传热、剪切应力、扩散过程、速度场等。文献中已经有了一些贡献,并且在这个研究领域已经取得了重大进展。本综述介绍了关于先进微流控设备(如芯片器官(OoC)设备)的数值研究的最新进展,以及这些研究如何有助于增强我们对所涉及物理过程的理解,并开发更有效的OoC平台。总体而言,人们已经注意到,在某些情况下,所进行的数值研究存在需要改进的局限性,并且在大多数研究中,由于所进行模拟缺乏细节,极难复制数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e867/8539624/e2296e9ae55f/micromachines-12-01149-g001.jpg

相似文献

5
Standardisation needs for organ on chip devices.器官芯片设备的标准化需求。
Lab Chip. 2021 Aug 7;21(15):2857-2868. doi: 10.1039/d1lc00241d. Epub 2021 Jul 12.
6
Organ-On-Chip Technology: The Future of Feto-Maternal Interface Research?芯片器官技术:母胎界面研究的未来?
Front Physiol. 2020 Jun 30;11:715. doi: 10.3389/fphys.2020.00715. eCollection 2020.

引用本文的文献

8

本文引用的文献

4
Brain-on-a-Chip Device for Modeling Multiregional Networks.用于多区域网络建模的芯片上脑装置
ACS Biomater Sci Eng. 2021 Jan 11;7(1):350-359. doi: 10.1021/acsbiomaterials.0c00895. Epub 2020 Dec 15.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验