journal article·2024-10Open access

Hermetic, Hybrid Multilayer, Sub‐5µm‐Thick Encapsulations Prepared with Vapor‐Phase Infiltration of Metal Oxides in Conformal Polymers for Flexible Bioelectronics

Massimo Mariello, Marion von Allmen, Kangling Wu, Matthias Van Gompel, Stéphanie P. Lacour, Yves Leterrier

Advanced Functional Materials· Volume 34· Issue 41

Abstract

Abstract Reliable long‐term function is crucial for flexible and soft bioelectronics. Mechanical defects and permeation of water molecules across the various device layers are the prime drivers of failure, and particularly in applications requiring continuous contact with biofluids (i.e. for implantable applications). To address demanding needs of miniaturization, mechanical compliance and water impermeability, ultra‐thin high‐barrier encapsulations are a promising way to improve device reliability. In this work, the encapsulation properties of vapour phase infiltration (VPI) of inorganic Al2O3 layers deposited by atomic layer deposition (ALD), as bilayers with TiO2, onto polyimide and parylene C organic substrates are investigated. The layers are grown in a single reactor and the infiltration is performed in a single process, with a resulting nanometric infiltration depth. Mechanical integrity and hermeticity are characterized through tensile fragmentation tests and accelerated aging tests. Flexible Magnesium sensors monitor water vapor permeability in situ. A remarkable improvement in the crack onset strain (∽2.56 times), interfacial shear strength (∽2.1 times), water vapour transmission rate (∽5.2 times) and lifetime performance (∽7.1 times) is achieved, compared to the non‐infiltrated ALD coatings. Pluri‐infiltrated multilayers are proposed as alternatives to conventional coatings. This work is envisioned to accelerate research progress on hermetic packaging of flexible bioelectronics.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Synthesis and properties of polymers · Organic Electronics and Photovoltaics · Advanced Sensor and Energy Harvesting Materials

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

Affiliations

Laboratory for Processing of Advanced Composites (LPAC) École Polytechnique Fédérale de Lausanne (EPFL) Lausanne 1015 Switzerland

École Polytechnique Fédérale de Lausanne School of Engineering Neuro‐X Institute Geneva Switzerland

Institute of Biomedical Engineering Department of Engineering Science University of Oxford OX3 7DQ Oxford UK

Comelec SA La‐Chaux‐de‐Fonds 2300 Switzerland

References (88)

Show source-provided references
1. 10.1016/j.progpolymsci.2007.11.00410.1016/j.progpolymsci.2007.11.004 ↗
2. 10.1063/1.159428410.1063/1.1594284 ↗
3. 10.1038/natrevmats.2016.6310.1038/natrevmats.2016.63 ↗
4. 10.1002/adma.20190651210.1002/adma.201906512 ↗
5. 10.1002/adfm.20210104710.1002/adfm.202101047 ↗
6. 10.1007/s12274-018-2028-610.1007/s12274-018-2028-6 ↗
7. 10.1002/adma.20220112910.1002/adma.202201129 ↗
8. 10.1002/app.189910.1002/app.1899 ↗
9. 10.3390/mi1011073910.3390/mi10110739 ↗
10. 10.1002/ppap.20060015810.1002/ppap.200600158 ↗
11. 10.1021/am303077x10.1021/am303077x ↗
12. P.Burrows G.Graff M.Gross P.Martin M.Hall E.Mast C.Bonham W.Bennett L.Michalski M.Weaver J. Brown D. Fogarty L. Sapochak.Proc. SPIE – Int. Soc. Opt. Eng2001 4105 International Symposium on Optical Science and Technology San Diego CA United States.10.1117/12.416878 ↗
13. K.Nanbakhsh R.Ritasalo W. A.Serdijn V.Giagka InProceed. 2020 IEEE 70th Electron. Compon. Technol. Conf. (ECTC) IEEE Sensors 2020 467.10.1109/ECTC32862.2020.00081 ↗
14. 10.1002/admi.20210185710.1002/admi.202101857 ↗
15. 10.1038/s41551-017-004810.1038/s41551-017-0048 ↗
16. 10.1016/j.neuron.2020.10.01010.1016/j.neuron.2020.10.010 ↗
17. 10.1016/j.tsf.2012.07.02510.1016/j.tsf.2012.07.025 ↗
18. 10.1088/1741-2552/aa69d310.1088/1741-2552/aa69d3 ↗
19. Fang H. · Proc. Natl. Acad. Sci. · 2016 · 113
20. 10.1002/aelm.20170007710.1002/aelm.201700077 ↗
21. Lee U. S. · ECS Solid State Lett · 2013 · 2 · R1310.1149/2.004306ssl ↗
22. 10.1063/1.345532410.1063/1.3455324 ↗
23. 10.1002/adma.20080344010.1002/adma.200803440 ↗
24. 10.1021/acsanm.9b0044010.1021/acsanm.9b00440 ↗
25. Phan H. P. · ACS Nano · 2019 · 13
26. 10.1116/1.221469410.1116/1.2214694 ↗
27. 10.1039/C7TC00903H10.1039/C7TC00903H ↗
28. Xiao W. · RSC Adv · 2014 · 4
29. 10.1002/adfm.20180644010.1002/adfm.201806440 ↗
30. 10.1063/1.356791210.1063/1.3567912 ↗
31. 10.1016/S0079-6425(02)00002-610.1016/S0079-6425(02)00002-6 ↗
32. 10.1021/acs.macromol.7b0128210.1021/acs.macromol.7b01282 ↗
33. 10.1016/j.surfcoat.2019.03.03510.1016/j.surfcoat.2019.03.035 ↗
34. 10.1016/j.tsf.2010.06.00310.1016/j.tsf.2010.06.003 ↗
35. 10.3389/fmats.2019.0031910.3389/fmats.2019.00319 ↗
36. 10.1557/PROC-665-C8.1610.1557/PROC-665-C8.16 ↗
37. 10.1016/j.orgel.2014.05.00110.1016/j.orgel.2014.05.001 ↗
38. 10.1016/j.orgel.2013.03.00810.1016/j.orgel.2013.03.008 ↗
39. 10.1002/ppap.20170022110.1002/ppap.201700221 ↗
40. 10.1116/1.191368010.1116/1.1913680 ↗
41. 10.3390/mi1304054410.3390/mi13040544 ↗
42. 10.1002/smll.20210303910.1002/smll.202103039 ↗
43. M.Mariello K.Kim M.Van Gompel K.Wu S. P.Lacour Y.Leterrier inProceed. Int. Conf. Micro NanoEngineering (MNE) Elsevier Torino 2021.
44. 10.1063/1.176861010.1063/1.1768610 ↗
45. 10.1007/s11837-018-3141-410.1007/s11837-018-3141-4 ↗
46. 10.1016/j.pmatsci.2015.06.00410.1016/j.pmatsci.2015.06.004 ↗
47. 10.1016/j.ccr.2013.07.00110.1016/j.ccr.2013.07.001 ↗
48. 10.1021/acsami.9b1926910.1021/acsami.9b19269 ↗
49. 10.1002/admi.20180101610.1002/admi.201801016 ↗
50. Gong B. · J. Mater. Chem. · 2012 · 22
51. 10.1007/s11837-018-3157-910.1007/s11837-018-3157-9 ↗
52. 10.1039/C7MH00196G10.1039/C7MH00196G ↗
53. 10.1021/acs.nanolett.8b0185510.1021/acs.nanolett.8b01855 ↗
54. 10.1116/1.367096310.1116/1.3670963 ↗
55. 10.3390/polym1510227710.3390/polym15102277 ↗
56. 10.1016/j.tsf.2016.02.04710.1016/j.tsf.2016.02.047 ↗
57. 10.1016/j.polymer.2012.05.01610.1016/j.polymer.2012.05.016 ↗
58. 10.1016/j.matt.2021.09.00510.1016/j.matt.2021.09.005 ↗
59. 10.1016/j.surfcoat.2014.10.02910.1016/j.surfcoat.2014.10.029 ↗
60. 10.1016/j.orgel.2017.05.00510.1016/j.orgel.2017.05.005 ↗
61. 10.1016/j.matchemphys.2013.08.04410.1016/j.matchemphys.2013.08.044 ↗
62. 10.1088/1742-6596/715/1/01201210.1088/1742-6596/715/1/012012 ↗
63. 10.1002/1521-3927(20010801)22:12<968::AID-MARC968>3.0.CO;2-R10.1002/1521-3927(20010801)22:12<968::AID-MARC968>3.0.CO;2-R ↗
64. 10.1002/pol.1980.17018070710.1002/pol.1980.170180707 ↗
65. 10.1016/j.biomaterials.2019.11973110.1016/j.biomaterials.2019.119731 ↗
66. 10.1016/S0040-6090(97)00918-810.1016/S0040-6090(97)00918-8 ↗
67. 10.3390/polym1423524610.3390/polym14235246 ↗
68. 10.3390/ma1515520310.3390/ma15155203 ↗
69. 10.1021/acsapm.2c0107310.1021/acsapm.2c01073 ↗
70. 10.1021/jp209003h10.1021/jp209003h ↗
71. 10.1063/1.492226710.1063/1.4922267 ↗
72. 10.1021/acsapm.0c0101410.1021/acsapm.0c01014 ↗
73. 10.1021/acsapm.9b0120710.1021/acsapm.9b01207 ↗
74. 10.1002/(SICI)1099-0488(19970715)35:9<1463::AID-POLB16>3.0.CO;2-410.1002/(SICI)1099-0488(19970715)35:9<1463::AID-POLB16>3.0.CO;2-4 ↗
75. 10.1116/1.489843510.1116/1.4898435 ↗
76. 10.1163/156856197X0033610.1163/156856197X00336 ↗
77. 10.1021/am200957910.1021/am2009579 ↗
78. 10.1016/j.mechmat.2009.11.00610.1016/j.mechmat.2009.11.006 ↗
79. 10.1002/adfm.20231542010.1002/adfm.202315420 ↗
80. M.Mariello K.Wu M.vonAllmen M.vanGompel S. P.Lacour Y.Leterrier inProceed. 2022 IEEE Int. Conf. Flexible Printable Sensors Syst. (FLEPS) Wien 2022 1.10.1109/FLEPS53764.2022.9781582 ↗
81. 10.1016/S1003-6326(19)64959-910.1016/S1003-6326(19)64959-9 ↗
82. 10.1016/j.actamat.2014.07.06310.1016/j.actamat.2014.07.063 ↗
83. 10.1016/j.actbio.2013.10.03110.1016/j.actbio.2013.10.031 ↗
84. Waples D. W. · AAPG Bull. · 1980 · 64 · 916
85. 10.1016/j.mechmat.2022.10447910.1016/j.mechmat.2022.104479 ↗
86. 10.1002/jbm.a.3173210.1002/jbm.a.31732 ↗
87. 10.2147/IJN.S14806510.2147/IJN.S148065 ↗
88. J.delValle N.de laOliva M.Müller T.Stieglitz X.Navarro inProceed. 2015 7th Int. IEEE/EMBS Conf. Neural Engineering (NER) Montpellier France 2015 442.10.1109/NER.2015.7146654 ↗