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International Journal of Bioprinting                                        Effect of ingredient flow speed




            citric acid. Approximately, 60 g of potato powder was mixed   Table 1. Foodini printer settings optimized for 4.0 mm nozzle
            with water at 100°C at three different mass ratios: 0.15, 0.2,   diameter
            and 0.25 wt/wt. The mixture was blended manually for 5   Printer settings               Values
            min until a puree-like consistency was attained and all the
            lumps in the mixture had dissolved. Pre-printability tests   Nozzle size (mm)             4
            were conducted to determine if the MP ink is suitable for   Print speed (mm/min)        14000
            3D printing. Through this qualitative analysis, the ratio of   Ingredient flow speed     1.65
            dry potato powder to boiling water was determined to be   Fill factor (%)                 1
            0.2 wt/wt. The MP inks were subsequently loaded into the   First ingredient hold (mm)    4.2
            Foodini capsule before 3D printing.                 First ingredient flow (mm)           6.25

            2.2. Rheological characterization                   First layer nozzle height (mm)       3.4
            An oscillatory rheometer (Modular Compact Rheometer,   First layer speed (%)             100
            Anton Paar, Austria) was utilized to examine the    Ingredient hold (mm)                  3
            rheological properties of MP food ink with an aluminum   Line thickness (mm)             3.4
            parallel plate with a diameter of 25 mm and truncation   Distance between layers (mm)    3.5
            gap of 1000 μm. To prevent edge effects from affecting
            the characterization profile of the inks, the rotating shaft
            was  descended  to  remove  any  overflowing  food  inks   the model. For model extrusion, the uploaded files would
            off the disc. To understand the rheology profile of the   go through the Foodini in-built slicer software, which will
            MP food ink at room temperature, viscosity tests were   generate a set of printing instructions for the printer for dot
            performed by exerting a stepwise shear rate increase   extrusion. Unlike model extrusion, there is no conversion
            from 1 to 1000 s . Triplicate measurements of the MP   of models into codes for the 3D food printer since the only
                          −1
            inks were recorded.                                input needed from the user is the extrusion volume.
            2.3. Measurement of nozzle geometry                2.4.1. 3D printing using dot extrusion
            A digital microscope (VHX-7000, Keyence, Japan) was   The dot function in the Foodini Creator hub allows
            deployed at ×20 magnification to analyze the nozzles from   different amounts of MP food inks to be extruded at once.
            different  perspectives  (interior,  external,  and  side)  and   By allowing a set volume of food inks to be extruded freely,
            identify any contrast between the different nozzles.   the time taken for each extrusion and the mass of food
                                                               ink extruded can be studied. By setting the dot extrusion
            2.4. 3D printing experiments                       at different volumes from 1 to 50 mL, three dots of MP
            An extrusion-based 3D food printer, Foodini (Natural   food inks were extruded on a glass slide and subsequently
            Machines, Spain), was utilized to print 3D models using the   weighed. By altering the amount of food ink extruded
            print settings listed in Table 1. Three nozzles (0.8, 1.5, and   from 1 to 10 mL, the time taken for each dot extrusion was
            4 mm) were used in this study. The control parameters that   measured thrice by finding the two frames of the video
            would be studied were printing speed (V ) and ingredient   where  extrusion  occurred.  The  average  time  taken  was
                                            PS
            flow speed (V ). According to the knowledge database of   then recorded (Table S1, Supporting Information).
                       IFS
            Natural Machines, printing speed (mm/min) is defined as
            the speed of the nozzle head moving in the horizontal axis.   2.4.2. 3D printing using model extrusion
            Ingredient flow speed is defined as the material extrusion   Three straight lines were 3D printed on a ceramic plate,
            flow on the vertical axis and is a dimensionless parameter.   where the line width served as a measure of the printing
            Unlike the typical food printers which control the flow   resolution, i.e., the standard of measurement. 23,43  The
            using  a  volumetric  flow  rate,  Foodini  printers  regulate   model had a length of 100 mm and a width of 4 mm and
            the flow via ingredient flow speed. A higher ingredient   was created using the “line drawing’’ function in Foodini
            flow speed would lead to a larger volume being extruded,   Creator. The straight line was subsequently printed for
            resulting in a larger printed width. This indicates that the   different printing parameters, such as printing speed
            ingredient flow speed is related to the volumetric flow rate   and ingredient flow speed of 200–50,000 mm/min and
            by an arbitrary value.                             0.1–50, respectively. Resolution refers to the width of the
               The extrusion process parameters were studied using   3D-printed straight line. Comparisons of the straight line
            two printing modes available in the Foodini Creator hub,   were made at three different printing speeds (3500, 14,000,
            namely dot and model extrusions. The two printing modes   and 25,000 mm/min) and three ingredient flow speeds
            differ in terms of whether the slicer software is applied to   (1.65, 3.3, and 5.0).


            Volume 10 Issue 5 (2024)                       219                                doi: 10.36922/ijb.2787
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