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Evaluating 3D-printed bioseparation structures using multi-length scale tomography.
Johnson, Thomas F; Conti, Mariachiara; Iacoviello, Francesco; Shearing, Paul R; Pullen, James; Dimartino, Simone; Bracewell, Daniel G.
Affiliation
  • Johnson TF; Department of Biochemical Engineering, University College London, Bernard Katz, London, WC1E 6BT, UK.
  • Conti M; Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh, EH9 3JL, UK.
  • Iacoviello F; Electrochemical Innovation Laboratory, Department of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.
  • Shearing PR; Electrochemical Innovation Laboratory, Department of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.
  • Pullen J; Fujifilm Diosynth Technologies, Belasis Avenue, Billingham, TS23 1LH, UK.
  • Dimartino S; Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh, EH9 3JL, UK.
  • Bracewell DG; Department of Biochemical Engineering, University College London, Bernard Katz, London, WC1E 6BT, UK. d.bracewell@ucl.ac.uk.
Anal Bioanal Chem ; 415(24): 5961-5971, 2023 Oct.
Article in En | MEDLINE | ID: mdl-37522918
ABSTRACT
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Anal Bioanal Chem Year: 2023 Document type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Anal Bioanal Chem Year: 2023 Document type: Article Affiliation country: United kingdom