A 3D Model of the Effect of Tortuosity and Constrictivity on the Diffusion in Mineralized Collagen Fibril

被引:0
|
作者
Fabiano Bini
Andrada Pica
Andrea Marinozzi
Franco Marinozzi
机构
[1] “Sapienza” University of Rome,Department of Mechanical and Aerospace Engineering
[2] “Campus Bio-Medico” University,Orthopedy and Traumatology Area
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Bone tissue is a hierarchically structured material composed at the nanoscale by an organic matrix of collagen type I, apatite mineral and water. We considered an idealized 3D geometrical model of the mineralized collagen fibril in order to analyze the influence of structural factors, i.e. tortuosity, constrictivity, on the water effective diffusivity. The average values of the factors investigated in the diffusivity are computed on 5000 iterations by means of the Montecarlo method. The input parameters of the numerical model are the geometrical dimensions of the apatite mineral, collagen fibrils and their spatial orientation obtained with random extractions from Gaussian probability distribution functions. We analyzed the diffusion phenomenon for concentration gradients parallel to three orthogonal directions (Length, Width and Thickness) and for different scenarios, namely low, intermediate and high apatite volume fraction. For each degree of volume fraction, in the thickness direction, the tortuosity assumes greater values, up to two orders of magnitude, in comparison with the tortuous factors computed in the other directions, highlighting the anisotropy of the nanostructure. Furthermore, it was found that the tortuosity is the dominant parameter which control the effective transport properties within the mineralized collagen fibrils.
引用
收藏
相关论文
共 50 条
  • [31] A dual compartment diffusion chamber for studying axonal chemotaxis in 3D collagen
    Pujic, Zac
    Goodhill, Geoffrey J.
    JOURNAL OF NEUROSCIENCE METHODS, 2013, 215 (01) : 53 - 59
  • [32] Planar Gradient Diffusion System to Investigate Chemotaxis in a 3D Collagen Matrix
    Stout, David A.
    Toyjanova, Jennet
    Franck, Christian
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2015, (100):
  • [33] The effect of collagen hydrogel on 3D culture of ovarian follicles
    Joo, Sunyoung
    Oh, Seh-Hoon
    Sittadjody, Sivanandane
    Opara, Emmanual C.
    Jackson, John D.
    Lee, Sang Jin
    Yoo, James J.
    Atala, Anthony
    BIOMEDICAL MATERIALS, 2016, 11 (06)
  • [34] A Novel 3D Fibril Force Assay Implicates Src in Tumor Cell Force Generation in Collagen Networks
    Polackwich, Robert J.
    Koch, Daniel
    Arevalo, Richard
    Miermont, Anne M.
    Jee, Kathleen J.
    Lazar, John
    Urbach, Jeffrey
    Mueller, Susette C.
    McAllister, Ryan G.
    PLOS ONE, 2013, 8 (03):
  • [35] Investigating the post-yield behavior of mineralized bone fibril arrays using a 3D non-linear finite element unit-cell model
    Alizadeh, Elham
    Omairey, Sadik
    Zysset, Philippe
    JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS, 2023, 139
  • [36] Role of cellulose family in fibril organization of collagen for forming 3D cancer spheroids: In vitro and in silico approach
    Abdolahinia, Elaheh Dalir
    Jafari, Behzad
    Parvizpour, Sepideh
    Barar, Jaleh
    Nadri, Samad
    Omidi, Yadollah
    BIOIMPACTS, 2021, 11 (02) : 111 - 117
  • [37] Understanding airspace in leaves: 3D anatomy and directional tortuosity
    Harwood, Richard
    Theroux-Rancourt, Guillaume
    Barbour, Margaret M.
    PLANT CELL AND ENVIRONMENT, 2021, 44 (08): : 2455 - 2465
  • [38] Application of 3D curvature and torsion in evaluating aortic tortuosity
    Zhang, Xuelan
    Luo, Mingyao
    Fang, Kun
    Li, Jiehua
    Peng, Yuan
    Zheng, Liancun
    Shu, Chang
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2021, 95
  • [39] An embedded element based 2D finite element model for the strength prediction of mineralized collagen fibril using Monte-Carlo type of simulations
    Sharma, Rajneesh
    Awasthi, Abhilash
    JOURNAL OF BIOMECHANICS, 2020, 108
  • [40] Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection
    Ho, Cheng-Ju
    Tai, Chen-Hsuan
    Lin, Yen-Yu
    Yang, Ming-Hsuan
    Tsai, Yi-Hsuan
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,