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Materials Science in Additive Manufacturing                                 SLA 3D printed triaxial nozzle



















            Figure  1.  A  schematic view of the nozzle fabrication process, including computer-aided design design, 3D printing of the nozzle using vat
            photopolymerization, post-3D printing processes, and extrusion-based 3D bioprinting using the fabricated nozzle.


            μ = 1 Pa∙s). The dynamic viscosity of the peptide solution   with two microfluidic syringe pumps (one for each nozzle
            and the hydrogel was obtained by rheology measurements   inlet). A version of the nozzle without the cell inlet was used.
            performed in a previous study and was similar for both   Two different bioinks were created – one using 10 mg/mL
            IIZK and IIFK peptides for the calculated shear rate   IIZK (Ac-Ile-Ile-Cha-Lys-NH ) and one using 10 mg/mL
                                                                                       2
            applied in 3D bioprinting (γ = 29.7 rad/s) .       IIFK (Ac-Ile-Ile-Phe-Lys-NH ) peptide solutions – mixed
                                             [30]
                                                                                      2
                                                               with 5× PBS to accelerate crosslinking. A test to determine
              Two distinct 2D COMSOL laminar flow models were
            set up: one for backflow assessment and one for normal   the optimal gelation parameters was conducted by running
                                                               the pumps at a range of flow rates for peptide solution
            nozzle operation. PBS properties were used for the whole   (45 – 60 μL/min) and PBS (15 – 25 μL/min) and observing
            domain in the backflow assessment model; whereas the   the bioink thread extruded from the nozzle.
            fluid properties were set to each area segment of the nozzle,
            as previously described, in the normal operation model   2.5. 3D Printing shape fidelity and resolution
            (Figure S2B). The backflow assessment model had one inlet
            and two outlets, whereas the normal operation model had   To evaluate the shape fidelity achieved by the nozzle,
            two inlets and one outlet. Both models were run with the   cell-free constructs  were printed with both  peptide
            inlets interchanged, to demonstrate potential differences   bioinks  and observed  for print resolution, dimensional
            between the two configurations. The boundary conditions   accuracy, consistent formation of bioink thread, and
                                                                                                      3
            were the velocity magnitude normal to the inlets and the   layer deposition. Six-layer 15 × 15 × 1.2 mm  hollow
                                                                                             3
            pressure for the outlets. The input velocity for the inlets   cylinders, six-layer 20 × 20 × 1.2 mm  grids, and 50-layer
                                                                             3
            was determined by dividing the flow rate by the area of the   10 × 10 × 10 mm  hollow cylinders were printed, with the
            inlet (0.005 m/s for the peptide solution, 0.00125 m/s for   optimized flow rates of 60 μL/min for the peptide solution
            PBS). A flow rate of 60 μL/min was used for the backflow   and 15 μL/min for 5× PBS.
            assessment model inlet, whereas the optimized flow rates   2.6. Bioprinting of cell-laden constructs
            of 60 μL/min and 15 μL/min for the peptide and PBS inlet,
            respectively, were used for the normal operation model.   2.6.1. Cell culture
            The outlet pressure was set to the atmospheric pressure   Primary human bone marrow mesenchymal stem cells
            (P = 101325 Pa). The mesh size was selected as medium   (hBM-MSCs) and bone marrow endothelial cells (BMECs)
            (Figure  S2C).  The  nozzle was  evaluated  based  on the   were used in the 3D bioprinting experiments. hBM-MSCs
            resulting flow profiles.                           were provided as a gift from Prof. A. Awidi (Cell Therapy
              The same analysis was performed for an equivalent   Center, The University of Jordan). BMECs (CRL-3421™)
            typical nozzle of the same dimensions, without the backflow   were purchased from ATCC.
            prevention features, as demonstrated in Figures S2D-F. The   Primary hBM-MSCs were expanded in culture, as
            two nozzle designs were compared based on the resulting   described previously . Briefly, the cells were cultured at a
                                                                               [31]
            flow profiles.                                     seeding density of 4 × 10  cells/cm  in T175 tissue culture
                                                                                   3
                                                                                           2
                                                               flasks. When cultures reached 70 – 80% confluence, the cells
            2.4. Parameter optimization for 3D bioprinting     were subcultured using 0.25% trypsin.  Cells in passages
            For  effective  hydrogel  bioink  extrusion  with  the  nozzle,   4 – 7 were used in the bioprinting experiments. The growth
            parameter optimization experiments were performed using   media for hBM-MSCs consisted of α-modified minimum
            an in-house developed robotic arm 3D bioprinter, coupled   essential medium (α-MEM) (GIBCO, ThermoFisher,



            Volume 2 Issue 3 (2023)                         4                       https://doi.org/10.36922/msam.1786
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