Background 3D printing is revolutioning many industrial sectors and has the potential to enhance also the biotechnology and bioprocessing fields. Here, we propose a new flexible material formulation to 3D print support matrices with complex, perfectly ordered morphology and with tuneable properties to suit a range of applications in bioprocess engineering. Findings Supports were fabricated using functional monomers as the key ingredients, enabling matrices with bespoke chemistry, such as charged groups, chemical moieties for further functionalization, and hydrophobic/hydrophilic groups. Other ingredients, e.g. crosslinkers and porogens, can be employed to fabricate supports with diverse characteristics of their porous network, providing an opportunity to further regulate the mechanical and mass transfer properties of the supports. Through this approach, we fabricated and demonstrated the operation of Schoen gyroid columns with (I) positive and negative charges for ion exchange chromatography, (II) enzyme bioreactors with immobilized trypsin to catalyse hydrolysis, and (III) bacterial biofilm bioreactors for fuel desulphurization. Conclusions This study demonstrates a simple, cost-effective, and flexible fabrication of customized 3D printed supports for different biotechnology and bioengineering applications.
Purifications of biologics can be improved using 3D printed stationary phases with perfectly ordered morphology. However, limited spatial resolution and lack of porous materials have hindered application of additive manufacturing in bioprocessing. To bridge this gap, digital light processing and polymerization‐induced phase separation are combined to fabricate platform materials with bed morphology at the micrometer scale, and porous network in the nanometer scale. Four different porous inks are developed, 3D printed, and characterized in terms of their rheological behaviour, polymerization kinetics, and printing resolution. Rapid 3D printing (down to 1 h) is achieved at scale (up to 100 mL column) of porous supports (50% porosity) at high resolution (up to 50 µm for linear features and 200 µm for complex geometries). 3D‐printed gyroids are chemically functionalized with various ion exchange ligands. These are successfully challenged for i) the separation of model proteins in dynamic conditions and ii) protein capture from a clarified cell harvest, demonstrating dynamic binding capacities between 5 and 16 mg mL−1 and up to 86% purity in a single run. This work introduces a rapid and facile approach to 3D printing porous inks to fabricate perfectly ordered stationary phases for downstream processing.
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 the design and imaged volumes where individual printed layers could be identified. 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 individual pores to be identified, obtaining an average internal pore size of 793 nm. Using the Avizo XLAB plugin at a bulk diffusivity of 7.00 x10 m s resulted in a simulated material diffusivity of 2.17 x10 m s ± 0.16 x10 m s .
Background: 3D printing is revolutionizing many industrial sectors and has the potential to enhance also the biotechnology and bioprocessing fields. Here, we propose a new flexible material formulation to 3D print support matrices with complex, perfectly ordered morphology and with tuneable properties to suit a range of applications in bioprocess engineering. Findings: Supports for packed-bed operations were fabricated using functional monomers as the key ingredients, enabling matrices with bespoke chemistry such as charged groups, chemical moieties for further functionalization, and hydrophobic/hydrophilic groups. Other ingredients, e.g. crosslinkers and porogens, provide the opportunity to further tune the mechanical properties of the supports and the morphology of their porous network. Through this approach, we fabricated and demonstrated the operation of Schoen gyroid columns with I) positive and negative charges for ion-exchange chromatography, II) enzyme bioreactors with immobilized trypsin to catalyse hydrolysis, and III) bacterial biofilms bioreactors for fuel desulfurization. Conclusions: This study demonstrates a simple, cost-effective and flexible fabrication of customized 3D printed supports for different biotechnology and bioengineering applications.
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. Graphical abstract
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