Microfluidic 3D Bioprinting of Foamed Fibers with Controlled Micromorphology
Source abstract
Abstract
The synergistic integration of microfluidic technologies with additive manufacturing systems is advancing the development of innovative platforms to 3D bioprint scaffolds for tissue engineering with unparalleled biological relevance. Significant interest is growing in realizing porous functionally graded materials (pFGMs) that can resemble the hierarchical organization of porosity found in bone tissue. This study introduces a method for fabricating porous scaffolds based on the real-time generation of a liquid foam, which is gelled, forming porous fibers that are organized into structured matrixes using a 3D bioprinting system. The primary advantage of this approach is the possibility to adjust bubble size during printing dynamically, modifying the characteristics of the deposited foamed filaments online and in one step. As a result, locally-defined and tailor-made pores can be distributed in 3D structures with high spatial accuracy. Besides the mechanical and morphological characterization of diverse microarchitectures, we also explored the biocompatibility of the proposed approach by directly embedding osteosarcoma cells within the biomaterial. Results demonstrated the biocompatibility of the proposed methodology and revealed the influence of the interior microporosity on cell proliferation, highlighting the potential for creating tailored tissue microenvironments. The findings underscore the versatility of the presented 3D bioprinting system and its potential in fabricating biomimetic scaffolds with tailored morphological gradients, representing a substantial advancement in pFGM synthesis, with direct implications in regenerative medicine and tissue engineering.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: 3D Printing in Biomedical Research · Bone Tissue Engineering Materials · Additive Manufacturing and 3D Printing Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemistry
University of Rome “La Sapienza”
Center for Life Nano- & Neuro-Science − CLN2S
Italian Institute of Technology (IIT)
Institute of Physical Chemistry
Polish Academy of Sciences
Warsaw University of Technology
Faculty of Materials Science and Engineering
Department of Mechanical and Aerospace Engineering (DIMA)
Funding
Sapienza Universit? di Roma · Narodowe Centrum Nauki · MTF Biologics · Ministero dell'Universit? e della Ricerca
References (58)
Show source-provided references
1. 10.3390/gels810060610.3390/gels8100606 ↗
2. 10.3389/fchem.2018.0049910.3389/fchem.2018.00499 ↗
3. 10.1089/ten.teb.2009.063910.1089/ten.teb.2009.0639 ↗
4. 10.1021/acs.langmuir.2c0225310.1021/acs.langmuir.2c02253 ↗
5. 10.1016/j.biomaterials.2008.12.06810.1016/j.biomaterials.2008.12.068 ↗
6. 10.1016/j.biomaterials.2009.04.02410.1016/j.biomaterials.2009.04.024 ↗
7. 10.1016/j.eurpolymj.2020.10987010.1016/j.eurpolymj.2020.109870 ↗
8. 10.1039/b920049e10.1039/b920049e ↗
9. 10.1039/c3tb20432d10.1039/c3tb20432d ↗
10. 10.1080/15583724.2019.168883010.1080/15583724.2019.1688830 ↗
11. 10.1002/pen.2570910.1002/pen.25709 ↗
12. 10.1016/j.actbio.2019.05.07010.1016/j.actbio.2019.05.070 ↗
13. 10.1002/adtp.20180011410.1002/adtp.201800114 ↗
14. 10.1039/C6CS00829A10.1039/C6CS00829A ↗
15. 10.1021/la303788z10.1021/la303788z ↗
16. 10.1016/j.pmatsci.2017.04.01310.1016/j.pmatsci.2017.04.013 ↗
17. 10.1021/acsami.5b0822110.1021/acsami.5b08221 ↗
18. 10.1021/acs.langmuir.7b0360210.1021/acs.langmuir.7b03602 ↗
19. 10.1002/admt.20190098110.1002/admt.201900981 ↗
20. 10.1016/j.actbio.2018.03.03910.1016/j.actbio.2018.03.039 ↗
21. 10.1002/adhm.20160002210.1002/adhm.201600022 ↗
22. 10.1088/1758-5090/ac6b5810.1088/1758-5090/ac6b58 ↗
23. 10.1002/adhm.20220002710.1002/adhm.202200027 ↗
24. 10.1039/D1TC02117F10.1039/D1TC02117F ↗
25. 10.1002/adma.20180546010.1002/adma.201805460 ↗
26. 10.1002/adfm.20221412910.1002/adfm.202214129 ↗
27. 10.1002/advs.20220460910.1002/advs.202204609 ↗
28. 10.1039/D3LC00658A10.1039/D3LC00658A ↗
29. 10.1002/admt.20220124410.1002/admt.202201244 ↗
30. 10.1063/5.006282310.1063/5.0062823 ↗
31. 10.1021/acsami.3c1955610.1021/acsami.3c19556 ↗
32. 10.1002/ange.20190053010.1002/ange.201900530 ↗
33. 10.1002/adma.20190466810.1002/adma.201904668 ↗
34. 10.1021/acsami.0c0794510.1021/acsami.0c07945 ↗
35. 10.1002/agt2.40910.1002/agt2.409 ↗
36. 10.1016/j.msec.2016.02.01010.1016/j.msec.2016.02.010 ↗
37. 10.1038/s43246-021-00186-310.1038/s43246-021-00186-3 ↗
38. 10.1016/j.cej.2014.11.03410.1016/j.cej.2014.11.034 ↗
39. Serpe, F. Engineering a microfluidic-assisted 3D bioprinting approach for the hierarchical control deposition and compartmentalisation of graded bioinks. bioRxiv, 2025, 10.1101/2025.02.10.637484.10.1101/2025.02.10.637484 ↗
40. 10.1080/17452759.2024.241941110.1080/17452759.2024.2419411 ↗
41. 10.1073/pnas.171616411510.1073/pnas.1716164115 ↗
42. 10.1088/1758-5090/ab875310.1088/1758-5090/ab8753 ↗
43. 10.1016/j.cocis.2010.06.00210.1016/j.cocis.2010.06.002 ↗
44. 10.1016/j.actbio.2010.07.03410.1016/j.actbio.2010.07.034 ↗
45. 10.1039/b903276b10.1039/b903276b ↗
46. 10.1140/epjb/e2006-00197-610.1140/epjb/e2006-00197-6 ↗
47. 10.1016/j.matdes.2019.10776210.1016/j.matdes.2019.107762 ↗
48. 10.1016/j.ijmecsci.2024.10963610.1016/j.ijmecsci.2024.109636 ↗
49. 10.1016/S0142-9612(03)00343-010.1016/S0142-9612(03)00343-0 ↗
50. 10.1016/j.bprint.2019.e0004510.1016/j.bprint.2019.e00045 ↗
51. 10.1002/jbm.a.3523010.1002/jbm.a.35230 ↗
52. 10.1007/s42242-022-00225-z10.1007/s42242-022-00225-z ↗
53. 10.1089/ten.tea.2020.030510.1089/ten.tea.2020.0305 ↗
54. 10.1002/adma.20150331010.1002/adma.201503310 ↗
55. 10.4415/ANN_12_01_0310.4415/ANN_12_01_03 ↗
56. 10.1007/s10853-021-06829-710.1007/s10853-021-06829-7 ↗
57. 10.1002/adhm.20210281010.1002/adhm.202102810 ↗
58. 10.1203/00006450-199907000-0001510.1203/00006450-199907000-00015 ↗