• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

介质灌注引起的多孔支架变形建模。

Modeling of porous scaffold deformation induced by medium perfusion.

作者信息

Podichetty Jagdeep T, Madihally Sundararajan V

机构信息

School of Chemical Engineering, Oklahoma State University, Stillwater, Oklahoma, 74078.

出版信息

J Biomed Mater Res B Appl Biomater. 2014 May;102(4):737-48. doi: 10.1002/jbm.b.33054. Epub 2013 Nov 21.

DOI:10.1002/jbm.b.33054
PMID:24259467
Abstract

In this study, we tested the possibility of calculating permeability of porous scaffolds utilized in soft tissue engineering using pore size and shape. We validated the results using experimental measured pressure drop and simulations with the inclusion of structural deformation. We prepared Polycaprolactone (PCL) and Chitosan-Gelatin (CG) scaffolds by salt leaching and freeze drying technique, respectively. Micrographs were assessed for pore characteristics and mechanical properties. Porosity for both scaffolds was nearly same but the permeability varied 10-fold. Elastic moduli were 600 and 9 kPa for PCL and CG scaffolds, respectively, while Poisson's ratio was 0.3 for PCL scaffolds and ∼1.0 for CG scaffolds. A flow-through bioreactor accommodating a 10 cm diameter and 0.2 cm thick scaffold was used to determine the pressure-drop at various flow rates. Additionally, computational fluid dynamic (CFD) simulations were performed by coupling fluid flow, described by Brinkman equation, with structural mechanics using a dynamic mesh. The experimentally obtained pressure drop matched the simulation results of PCL scaffolds. Simulations were extended to a broad range of permeabilities (10(-10) m(2) to 10(-14) m(2) ), elastic moduli (10-100,000 kPa) and Poisson's ratio (0.1-0.49). The results showed significant deviation in pressure drop due to scaffold deformation compared to rigid scaffold at permeabilities near healthy tissues. Also, considering the scaffold as a nonrigid structure altered the shear stress profile. In summary, scaffold permeability can be calculated using scaffold pore characteristics and deformation could be predicted using CFD simulation. These relationships could potentially be used in monitoring tissue regeneration noninvasively via pressure drop.

摘要

在本研究中,我们测试了利用孔径和形状来计算软组织工程中使用的多孔支架渗透率的可能性。我们通过实验测量的压降以及包含结构变形的模拟来验证结果。我们分别采用盐析和冷冻干燥技术制备了聚己内酯(PCL)和壳聚糖 - 明胶(CG)支架。对显微照片进行评估以获取孔隙特征和力学性能。两种支架的孔隙率几乎相同,但渗透率相差10倍。PCL和CG支架的弹性模量分别为600 kPa和9 kPa,而PCL支架的泊松比为0.3,CG支架的泊松比约为1.0。使用一个容纳直径10 cm、厚度0.2 cm支架的流通式生物反应器来测定不同流速下的压降。此外,通过将由布林克曼方程描述的流体流动与使用动态网格的结构力学相结合,进行了计算流体动力学(CFD)模拟。实验获得的压降与PCL支架的模拟结果相匹配。模拟扩展到了广泛的渗透率范围(10^(-10) m² 至 10^(-14) m²)、弹性模量范围(10 - 100,000 kPa)和泊松比范围(0.1 - 0.49)。结果表明,在接近健康组织的渗透率下,与刚性支架相比,由于支架变形导致压降存在显著偏差。此外,将支架视为非刚性结构会改变剪切应力分布。总之,可以使用支架孔隙特征来计算支架渗透率,并且可以使用CFD模拟来预测变形。这些关系可能潜在地用于通过压降无创监测组织再生。

相似文献

1
Modeling of porous scaffold deformation induced by medium perfusion.介质灌注引起的多孔支架变形建模。
J Biomed Mater Res B Appl Biomater. 2014 May;102(4):737-48. doi: 10.1002/jbm.b.33054. Epub 2013 Nov 21.
2
Modeling pressure drop using generalized scaffold characteristics in an axial-flow bioreactor for soft tissue regeneration.在用于软组织再生的轴流生物反应器中,利用广义支架特性对压降进行建模。
Ann Biomed Eng. 2014 Jun;42(6):1319-30. doi: 10.1007/s10439-014-1009-5. Epub 2014 Apr 10.
3
Multiple approaches to predicting oxygen and glucose consumptions by HepG2 cells on porous scaffolds in an axial-flow bioreactor.预测轴流生物反应器中多孔支架上HepG2细胞氧气和葡萄糖消耗的多种方法。
Biotechnol Bioeng. 2015 Feb;112(2):393-404. doi: 10.1002/bit.25355. Epub 2014 Sep 26.
4
Finite element analysis of mechanical behavior, permeability and fluid induced wall shear stress of high porosity scaffolds with gyroid and lattice-based architectures.具有类螺旋体和晶格结构的高孔隙率支架的力学行为、渗透性及流体诱导壁面剪应力的有限元分析
J Mech Behav Biomed Mater. 2017 Nov;75:262-270. doi: 10.1016/j.jmbbm.2017.07.035. Epub 2017 Jul 25.
5
Dynamics of diffusivity and pressure drop in flow-through and parallel-flow bioreactors during tissue regeneration.在组织再生过程中,流动式和并流式生物反应器中的扩散系数和压降动力学。
Biotechnol Prog. 2012 Jul;28(4):1045-54. doi: 10.1002/btpr.1547. Epub 2012 May 21.
6
Flow dynamics in bioreactors containing tissue engineering scaffolds.含有组织工程支架的生物反应器中的流动动力学
Biotechnol Bioeng. 2009 Feb 15;102(3):935-47. doi: 10.1002/bit.22106.
7
Micro-computed tomography based computational fluid dynamics for the determination of shear stresses in scaffolds within a perfusion bioreactor.基于微计算机断层扫描的计算流体动力学用于确定灌注生物反应器内支架中的剪应力。
Ann Biomed Eng. 2014 May;42(5):1085-94. doi: 10.1007/s10439-014-0981-0. Epub 2014 Feb 4.
8
A comparative study of shear stresses in collagen-glycosaminoglycan and calcium phosphate scaffolds in bone tissue-engineering bioreactors.骨组织工程生物反应器中胶原蛋白-糖胺聚糖和磷酸钙支架剪切应力的比较研究。
Tissue Eng Part A. 2009 May;15(5):1141-9. doi: 10.1089/ten.tea.2008.0204.
9
Comparison of titanium dioxide scaffold with commercial bone graft materials through micro-finite element modelling in flow perfusion.在流动灌注下通过微有限元建模比较二氧化钛支架与商业骨移植物材料。
Med Biol Eng Comput. 2019 Jan;57(1):311-324. doi: 10.1007/s11517-018-1884-2. Epub 2018 Aug 16.
10
A three-dimensional computational fluid dynamics model of shear stress distribution during neotissue growth in a perfusion bioreactor.灌注生物反应器中新组织生长过程中剪切应力分布的三维计算流体动力学模型。
Biotechnol Bioeng. 2015 Dec;112(12):2591-600. doi: 10.1002/bit.25672. Epub 2015 Jul 14.

引用本文的文献

1
MPET: a multi-network poroelastic and transport theory for predicting absorption of monoclonal antibodies delivered by subcutaneous injection.MPET:一种多网络渗透弹性和传输理论,用于预测皮下注射递送的单克隆抗体的吸收。
Drug Deliv. 2023 Dec;30(1):2163003. doi: 10.1080/10717544.2022.2163003.
2
Optimization and Validation of a Custom-Designed Perfusion Bioreactor for Bone Tissue Engineering: Flow Assessment and Optimal Culture Environmental Conditions.定制设计的骨组织工程灌注生物反应器的优化与验证:流动评估及最佳培养环境条件
Front Bioeng Biotechnol. 2022 Mar 25;10:811942. doi: 10.3389/fbioe.2022.811942. eCollection 2022.
3
Regenerative orthopaedics: in vitro, in vivo...in silico.
再生骨科:体外、体内……计算机模拟。
Int Orthop. 2014 Sep;38(9):1771-8. doi: 10.1007/s00264-014-2419-6. Epub 2014 Jul 2.