journal article·2023-03Open access

3D‐Printed Microinjection Needle Arrays via a Hybrid DLP‐Direct Laser Writing Strategy

Sunandita Sarker, Adira Colton, Ziteng Wen, Xin Xu, Metecan Erdi, Anthony Jones, Peter Kofinas, Eleonora Tubaldi, Piotr Walczak, Miroslaw Janowski, Yajie Liang, Ryan D. Sochol

Advanced Materials Technologies· Volume 8· Issue 5

Abstract

Abstract Microinjection protocols are ubiquitous throughout biomedical fields, with hollow microneedle arrays (MNAs) offering distinctive benefits in both research and clinical settings. Unfortunately, manufacturing‐associated barriers remain a critical impediment to emerging applications that demand high‐density arrays of hollow, high‐aspect‐ratio microneedles. To address such challenges, here, a hybrid additive manufacturing approach that combines digital light processing (DLP) 3D printing with “ex situ direct laser writing (esDLW)” is presented to enable new classes of MNAs for fluidic microinjections. Experimental results for esDLW‐based 3D printing of arrays of high‐aspect‐ratio microneedles—with 30 µm inner diameters, 50 µm outer diameters, and 550 µm heights, and arrayed with 100 µm needle‐to‐needle spacing—directly onto DLP‐printed capillaries reveal uncompromised fluidic integrity at the MNA‐capillary interface during microfluidic cyclic burst‐pressure testing for input pressures in excess of 250 kPa (n = 100 cycles). Ex vivo experiments perform using excised mouse brains reveal that the MNAs not only physically withstand penetration into and retraction from brain tissue but also yield effective and distributed microinjection of surrogate fluids and nanoparticle suspensions directly into the brains. In combination, the results suggest that the presented strategy for fabricating high‐aspect‐ratio, high‐density, hollow MNAs could hold unique promise for biomedical microinjection applications.
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Research context

OpenAlex topics: 3D Printing in Biomedical Research · Nanofabrication and Lithography Techniques · Nonlinear Optical Materials Studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical Engineering University of Maryland College Park MD 20742 USA

Maryland Robotics Center University of Maryland College Park MD 20742 USA

Institute for Systems Research University of Maryland College Park MD 20742 USA

Department of Chemical and Biomolecular Engineering University of Maryland College Park MD 20742 USA

Program in Image Guided Neurointerventions Department of Diagnostic Radiology and Nuclear Medicine University of Maryland School of Medicine Baltimore MD 21201 USA

Fischell Department of Bioengineering University of Maryland College Park MD 20742 USA

Robert E. Fischell Institute for Biomedical Devices University of Maryland College Park MD 20742 USA

Funding

National Institutes of Health · Maryland Stem Cell Research Fund · National Science Foundation · National Institute on Aging · National Institute of Neurological Disorders and Stroke · National Institute of Diabetes and Digestive and Kidney Diseases · National Institute of Biomedical Imaging and Bioengineering · Division of Civil, Mechanical and Manufacturing Innovation

References (92)

Show source-provided references
1. 10.1038/s41467-022-31740-310.1038/s41467-022-31740-3 ↗
2. 10.1002/adfm.20210409210.1002/adfm.202104092 ↗
3. 10.1002/adhm.20210254710.1002/adhm.202102547 ↗
4. 10.1126/sciadv.abn177210.1126/sciadv.abn1772 ↗
5. 10.1038/s41467-021-20948-410.1038/s41467-021-20948-4 ↗
6. 10.1002/adfm.20210918710.1002/adfm.202109187 ↗
7. 10.1016/j.ijpharm.2021.12081510.1016/j.ijpharm.2021.120815 ↗
8. 10.1016/j.matt.2021.11.02110.1016/j.matt.2021.11.021 ↗
9. 10.1016/j.jconrel.2022.04.04310.1016/j.jconrel.2022.04.043 ↗
10. 10.1016/j.ejpb.2020.12.00610.1016/j.ejpb.2020.12.006 ↗
11. 10.1007/s13346-021-01113-210.1007/s13346-021-01113-2 ↗
12. 10.1126/sciadv.abj806510.1126/sciadv.abj8065 ↗
13. 10.1002/advs.20210121010.1002/advs.202101210 ↗
14. 10.1002/anbr.20210006610.1002/anbr.202100066 ↗
15. 10.1038/s41378-019-0077-y10.1038/s41378-019-0077-y ↗
16. 10.1016/j.ijpharm.2021.12045510.1016/j.ijpharm.2021.120455 ↗
17. 10.18063/ijb.v8i2.55310.18063/ijb.v8i2.553 ↗
18. 10.1016/j.actbio.2017.10.03010.1016/j.actbio.2017.10.030 ↗
19. 10.1002/adfm.20200985010.1002/adfm.202009850 ↗
20. 10.1007/s40820-021-00778-110.1007/s40820-021-00778-1 ↗
21. 10.1002/adhm.20180049710.1002/adhm.201800497 ↗
22. 10.1038/s41551-018-0191-410.1038/s41551-018-0191-4 ↗
23. 10.1038/s41467-019-14000-910.1038/s41467-019-14000-9 ↗
24. 10.1016/j.celrep.2018.04.09410.1016/j.celrep.2018.04.094 ↗
25. 10.1073/pnas.200069011710.1073/pnas.2000690117 ↗
26. 10.1016/j.biomaterials.2013.03.09510.1016/j.biomaterials.2013.03.095 ↗
27. 10.3390/brainsci1011089310.3390/brainsci10110893 ↗
28. 10.3389/fncel.2021.63721010.3389/fncel.2021.637210 ↗
29. 10.23937/2474-3674/151005810.23937/2474-3674/1510058 ↗
30. 10.4103/0975-7406.12430110.4103/0975-7406.124301 ↗
31. 10.1016/j.neuroimage.2008.02.01910.1016/j.neuroimage.2008.02.019 ↗
32. 10.1126/science.abn009010.1126/science.abn0090 ↗
33. 10.1002/adma.20210839110.1002/adma.202108391 ↗
34. 10.1126/sciadv.abe525710.1126/sciadv.abe5257 ↗
35. 10.1002/adfm.20190554410.1002/adfm.201905544 ↗
36. 10.1002/adhm.20200180010.1002/adhm.202001800 ↗
37. 10.1002/adhm.20190117010.1002/adhm.201901170 ↗
38. 10.1002/smtd.20170027710.1002/smtd.201700277 ↗
39. 10.1016/j.msec.2020.11129910.1016/j.msec.2020.111299 ↗
40. 10.1016/j.addma.2020.10181510.1016/j.addma.2020.101815 ↗
41. 10.1021/acs.molpharmaceut.2c0046610.1021/acs.molpharmaceut.2c00466 ↗
42. 10.1016/j.ijpharm.2021.12030310.1016/j.ijpharm.2021.120303 ↗
43. 10.1039/C9LC00542K10.1039/C9LC00542K ↗
44. 10.1038/s41598-021-90571-210.1038/s41598-021-90571-2 ↗
45. 10.1002/admt.20210022210.1002/admt.202100222 ↗
46. 10.1109/JMEMS.2020.300047910.1109/JMEMS.2020.3000479 ↗
47. 10.1002/admt.20200130710.1002/admt.202001307 ↗
48. 10.1016/j.jconrel.2019.11.02310.1016/j.jconrel.2019.11.023 ↗
49. 10.1039/D0TB00962H10.1039/D0TB00962H ↗
50. 10.3762/bjnano.13.5510.3762/bjnano.13.55 ↗
51. 10.1002/adfm.20210699910.1002/adfm.202106999 ↗
52. 10.3389/fbioe.2019.0029610.3389/fbioe.2019.00296 ↗
53. 10.1016/j.addma.2022.10295310.1016/j.addma.2022.102953 ↗
54. 10.1016/j.mfglet.2021.10.00710.1016/j.mfglet.2021.10.007 ↗
55. 10.1038/micronano.2017.3410.1038/micronano.2017.34 ↗
56. 10.1088/1361-6439/abec1c10.1088/1361-6439/abec1c ↗
57. 10.1038/s41598-018-36727-z10.1038/s41598-018-36727-z ↗
58. 10.1002/adem.20190135810.1002/adem.201901358 ↗
59. 10.1016/j.heares.2020.10814110.1016/j.heares.2020.108141 ↗
60. 10.1002/admt.20210003710.1002/admt.202100037 ↗
61. 10.1038/s41378-019-0046-510.1038/s41378-019-0046-5 ↗
62. 10.1016/j.jconrel.2020.10.02110.1016/j.jconrel.2020.10.021 ↗
63. 10.1126/sciadv.aba566010.1126/sciadv.aba5660 ↗
64. 10.1002/advs.20200464310.1002/advs.202004643 ↗
65. R.Acevedo Z.Wen I. B.Rosenthal E. Z.Freeman M.Restaino N.Gonzalez R. D.Sochol in2021 IEEE 34th Int. Conf. Micro Electro Mechan. Syst. (MEMS) 2021 pp.10–13.https://doi.org/10.1109/MEMS51782.2021.9375347.10.1109/MEMS51782.2021.9375347 ↗
66. 10.1007/s40820-021-00611-910.1007/s40820-021-00611-9 ↗
67. 10.3390/polym1203062010.3390/polym12030620 ↗
68. 10.3389/fchem.2019.0017910.3389/fchem.2019.00179 ↗
69. 10.1007/s10439-012-0510-y10.1007/s10439-012-0510-y ↗
70. 10.1007/s10439-009-9811-110.1007/s10439-009-9811-1 ↗
71. 10.1038/nphoton.2016.12110.1038/nphoton.2016.121 ↗
72. 10.1038/s41566-018-0133-410.1038/s41566-018-0133-4 ↗
73. 10.1002/smll.20170396410.1002/smll.201703964 ↗
74. 10.1038/s41598-018-27568-x10.1038/s41598-018-27568-x ↗
75. 10.1038/s41578-022-00460-x10.1038/s41578-022-00460-x ↗
76. 10.1126/sciadv.abq453910.1126/sciadv.abq4539 ↗
77. 10.1038/s41551-022-00887-110.1038/s41551-022-00887-1 ↗
78. 10.1002/adma.20210042510.1002/adma.202100425 ↗
79. 10.1016/j.addr.2021.03.00710.1016/j.addr.2021.03.007 ↗
80. 10.1126/sciadv.abk179210.1126/sciadv.abk1792 ↗
81. 10.1002/adma.20220347410.1002/adma.202203474 ↗
82. 10.1016/j.mattod.2018.02.00410.1016/j.mattod.2018.02.004 ↗
83. 10.1126/science.aaa239710.1126/science.aaa2397 ↗
84. 10.1126/science.aau711410.1126/science.aau7114 ↗
85. 10.1038/s41467-020-14630-410.1038/s41467-020-14630-4 ↗
86. 10.1038/s41586-020-3029-710.1038/s41586-020-3029-7 ↗
87. 10.1002/adma.20200634110.1002/adma.202006341 ↗
88. 10.1155/2015/63290210.1155/2015/632902 ↗
89. 10.1006/exnr.1996.014110.1006/exnr.1996.0141 ↗
90. 10.1002/jnr.2106610.1002/jnr.21066 ↗
91. 10.1016/j.ebiom.2020.10298910.1016/j.ebiom.2020.102989 ↗
92. A. T.Alsharhan R.Acevedo R.Warren R. D.Sochol (2019) 3D microfluidics via cyclic olefin polymer‐based in situ direct laser writing. Lab on a Chip 19(17) 2799–2810.https://doi.org/10.1039/c9lc00542k.10.1039/C9LC00542K ↗