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3D Printing of a Graphene-Modified Photopolymer Using SLA
           the  potential  application  in  biomedical  field.  Besides,   completed.  It  was  observed  that  the  addition  of  G
           wettability  measurements  can  give  information  about   significantly reduced the T  value, from 106°C to 73°C.
                                                                                     g
           layers adhesion since polymerized layer has to be wetted   However,  GO  and  GoxNP  showed  similar  T   than  R
                                                                                                       g
           by liquid resin to obtain adequate adhesion between the   (Table 1).
           polymerized layer and the new one.
               Hydrophilicity was studied by measuring the contact   4.2. Thermal polymerization
           angle of water on the sample surface at room temperature   It can be noted that the required energy (E  ), calculated
                                                                                                  total
           (20°C). Dataphysics OCA15 plus goniometer and SCA20   by  measuring  the  area  under  the  polymerization  peak
           software (DataPhysics Instruments GmbH, Filderstandt,   (Figure  2),  is  similar  for  all  material  formulations
           Germany) were used for this purpose. At least ten contact   investigated, all the values are in the range from 21.2 to
           angles were measured for each sample.               22 J/g. Peak temperatures (polymerization temperatures)
                                                               are between 179 and 185°C, the values are also similar
           3.11. Surface roughness                             for all resins (Table 2).
           Surface  roughness  of  each  3D  printed  sample  was
           measured  using  optical  microscopy.  Specifically,   4.3. UV polymerization
           Olympus DSX1000 was used with ×10 zoom and bright   The  effect  of  applying  different  polymerization  times
           field. 3D images were captured and from these images,   during  polymerization  was  compared.  As  example,
           at least six line-measurements at random directions were   pristine resin DSC curves are shown in Figure 3. It can be
           completed for each sample and the roughness parameters   observed that when samples are irradiated with UV light,
           were  obtained  using  the  Software  Olympus  Stream   DSC curves show two exothermic peaks; the first one was
           (Olympus, Shinjuku, Tokyo, Japan).                  between 70 and 84°C and the second one between 146
                                                               and 166°C, depending on the UV exposure time. To the
           3.12. Statistical analysis                          best of our knowledge, there were no similar studies using
           The results were also evaluated for statistical significance   photocurable  polymers;  however,  Vicard  et al.   have
                                                                                                        [55]
           using a one-way analysis of variance (ANOVA) test with   reported  DSC  curves  of  polymerization-crystallization
           a post hoc Scheffe’s test (SPSS 20.0 for Windows; IBM   process of polyamides. They reported a first exothermic
           SPSS,  USA).  A  P  <  0.05  was  indicative  of  statistical   peak of polymerization, followed by another exothermic
           significance.                                       peak that corresponds to the crystallization of the polymer
                                                               formed in the previous peak.
           4. Results                                              In this study, there was some cured polymer from the
                                                               beginning of the test due to the UV exposition. Therefore,
           4.1. Viscosity                                      the first peak could be assigned to the crystallization or

           It is observed that in comparison with R, the incorporation   crosslinking of the UV cured polymer (UV-peak), whilst
           of G produced a marked decrease of the viscosity (59.1%);   the second peak could be due to the thermal polymerization
           on  the  contrary,  the  incorporation  of  GO  and  GoxNP   of the non-UV polymerized resin (thermal-peak).
           showed a slight increase by 18.2 and 25%, respectively   For all material types investigated, the same trend
           (Table  1).  These  differences  are  not  statistically   was  observed  in  relation  with  these  two  exothermic
           significant; however, significant differences were found
           between R+G viscosity and R+GO/R+GoxNP viscosity.
               The reduction of viscosity could be due to an increase
           in  free  volume  generated  around  the  nanoparticles .
                                                        [54]
           To  corroborate  this  hypothesis,  T   measurements  were
                                        g
           Table 1. Viscosity of R, R+G, R+GO, R+GoxNP
           Material Type   Viscosity at 31°C (Pa·s)  Tg (°C)
           R                    0.44 ± 0.02 a,b    106 ± 3
           R+G                   0.18 ± 0.09 a      73 ± 4
           R+GO                  0.52 ± 0.07 b     105 ± 2
           R+GoxNP               0.55 ± 0.06 b     108 ± 3
           Viscosity is expressed as mean  ±  standard deviation. Values with different
           letters are significantly different (P < 0.05). When a statistical analysis is
           carried out, different P-values were obtained for each pair of data giving
           information about the significance of the differences. Superscript letters a   Figure  2.  Differential  scanning  calorimetry  thermograms  of  R,
           and b are used to identify which pairs of values are significantly different.  R+G, R+GO, R+GoxNP.
           186                         International Journal of Bioprinting (2022)–Volume 8, Issue 1
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