Evaluating 3D-printed bioseparation structures using multi-length scale tomography.
Evaluating 3D-printed bioseparation structures using multi-length scale tomography.
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DOI:
10.1007/s00216-023-04866-6
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发表时间:
2023-10
影响因子:
4.3
通讯作者:
Bracewell, Daniel G.
中科院分区:
文献类型:
--
作者:
Johnson, Thomas F.;Conti, Mariachiara;Iacoviello, Francesco;Shearing, Paul R.;Pullen, James;Dimartino, Simone;Bracewell, Daniel G.
X-ray computed tomography was applied in imaging 3D-printed gyroids used for bioseparation in order to visualize and characterize structures from the entire geometry down to individual nanopores. Methacrylate prints were fabricated with feature sizes of 500 µm, 300 µm, and 200 µm, with the material phase exhibiting a porous substructure in all cases. Two X-ray scanners achieved pixel sizes from 5 µm to 16 nm to produce digital representations of samples across multiple length scales as the basis for geometric analysis and flow simulation. At the gyroid scale, imaged samples were visually compared to the original computed-aided designs to analyze printing fidelity across all feature sizes. An individual 500 µm feature, part of the overall gyroid structure, was compared and overlaid between design and imaged volumes, identifying individual printed layers. Internal subvolumes of all feature sizes were segmented into material and void phases for permeable flow analysis. Small pieces of 3D-printed material were optimized for nanotomographic imaging at a pixel size of 63 nm, with all three gyroid samples exhibiting similar geometric characteristics when measured. An average porosity of 45% was obtained that was within the expected design range, and a tortuosity factor of 2.52 was measured. Applying a voidage network map enabled the size, location, and connectivity of pores to be identified, obtaining an average pore size of 793 nm. Using Avizo XLAB at a bulk diffusivity of 7.00 × 10−11 m2s−1 resulted in a simulated material diffusivity of 2.17 × 10−11 m2s−1 ± 0.16 × 10−11 m2s−1.
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影响因子:
4.6
作者:
Burnett TL;McDonald SA;Gholinia A;Geurts R;Janus M;Slater T;Haigh SJ;Ornek C;Almuaili F;Engelberg DL;Thompson GE;Withers PJ
通讯作者:
Withers PJ
影响因子:
2
作者:
Bailey JJ;Heenan TMM;Finegan DP;Lu X;Daemi SR;Iacoviello F;Backeberg NR;Taiwo OO;Brett DJL;Atkinson A;Shearing PR
通讯作者:
Shearing PR
影响因子:
9.5
作者:
Femmer, Tim;Kuehne, Alexander J. C.;Wessling, Matthias
通讯作者:
Wessling, Matthias
DOI:
10.1002/advs.201700369
发表时间:
2018-01
期刊:
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
影响因子:
--
作者:
Finegan DP;Darcy E;Keyser M;Tjaden B;Heenan TMM;Jervis R;Bailey JJ;Vo NT;Magdysyuk OV;Drakopoulos M;Michiel MD;Rack A;Hinds G;Brett DJL;Shearing PR
通讯作者:
Shearing PR
影响因子:
4.3
作者:
Idkowiak, Jakub;Jirasko, Robert;Holcapek, Michal
通讯作者:
Holcapek, Michal