Accessible Soft Electronics with Silver‐Gelatin Conductive Hydrogel Composite
Source abstract
Abstract
Abstract Electrically conductive hydrogels are a promising class of materials for soft electronics and robotics that mimic the mechanics of natural biological tissue. However, these materials are typically derived from petrochemical sources and their production typically involves hazardous solvents and monomers that limit accessibility and environmental compatibility. This study introduces a biomaterial hydrogel composite in which a percolating network of silver microflakes is suspended in a natural, gelatin‐based matrix. The composite is primarily composed of inexpensive, food‐safe ingredients and fabrication is achieved using accessible consumer‐grade equipment. The resulting material system is mechanically soft, stretchable up to 470% strain, and highly conductive up to 3.1 × 103 S cm−1, with properties that can be tailored based on material composition and processing conditions. In addition to experimental characterization of its material properties, this conductive gelatin composite is shown to be applicable for a variety of uses cases in soft matter circuitry and bioelectronics.
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Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Advanced Materials and Mechanics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mechanical Engineering Carnegie Mellon University Pittsburgh PA 15213 USA
The Robotics Institute Carnegie Mellon University Pittsburgh PA 15213 USA
ATLAS Institute University of Colorado Boulder Boulder CO 80309 USA
Funding
National Science Foundation Graduate Research Fellowship Program · School of Computer Science, Carnegie Mellon University
References (54)
Show source-provided references
1. 10.1016/j.jclepro.2020.12053610.1016/j.jclepro.2020.120536 ↗
2. 10.1002/admt.20230100710.1002/admt.202301007 ↗
3. 10.1038/s41586-022-05656-310.1038/s41586-022-05656-3 ↗
4. 10.3390/s2021615410.3390/s20216154 ↗
5. 10.1016/j.foodres.2022.11211410.1016/j.foodres.2022.112114 ↗
6. Wang X. · J. Sci.: Adv. Mater. Dev. · 2022
7. 10.1093/pnasnexus/pgae10610.1093/pnasnexus/pgae106 ↗
8. 10.1002/adma.20200441310.1002/adma.202004413 ↗
9. 10.1016/j.ijbiomac.2022.07.16810.1016/j.ijbiomac.2022.07.168 ↗
10. Wang J. · Mater. Today · 2018 · 21 · 50
11. Baumgartner M. · Nat. Mater. 2020 19:10 · 2020 · 19 · 1102
12. Heiden A. · Sci. Rob. · 2022 · 7
13. J.Shintake H.Sonar E.Piskarev J.Paik D.Floreano IEEE International Conference on Intelligent Robots and Systems2017 6221.10.1109/IROS.2017.8206525 ↗
14. 10.1021/acsapm.3c0091910.1021/acsapm.3c00919 ↗
15. Hardman D. · NPG Asia Mater. · 2022
16. 10.1016/j.matlet.2018.11.07810.1016/j.matlet.2018.11.078 ↗
17. 10.1002/aelm.20200004010.1002/aelm.202000040 ↗
18. 10.1002/adfm.20200375910.1002/adfm.202003759 ↗
19. 10.1016/j.ijbiomac.2021.05.14710.1016/j.ijbiomac.2021.05.147 ↗
20. Chen K. · Macromol. Mater. Eng. · 2021 · 306
21. 10.1038/s41928-021-00545-510.1038/s41928-021-00545-5 ↗
22. 10.1038/s41928-023-00932-010.1038/s41928-023-00932-0 ↗
23. 10.1002/adma.20200292910.1002/adma.202002929 ↗
24. 10.1021/acsami.2c1288010.1021/acsami.2c12880 ↗
25. Quispe C. A. G. · Renewable Sustainable Energy Rev. · 2013
26. 10.1001/jamainternmed.2016.241010.1001/jamainternmed.2016.2410 ↗
27. 10.1021/jp509099h10.1021/jp509099h ↗
28. E. S.Lazaro Vasquez M.Alistar L.Devendorf M. L.Rivera in Proceedings of the CHI Conference on Human Factors in Computing Systems CHI '24.Association for Computing Machinery New York NY USA ISBN 9798400703300 2024 pp.1–18.10.1145/3613904.3642387 ↗
29. 10.1126/science.abg632010.1126/science.abg6320 ↗
30. 10.1038/s41427-021-00302-210.1038/s41427-021-00302-2 ↗
31. Tan M. W. M. · Adv. Sci. · 2024
32. 10.1016/j.eurpolymj.2008.11.01710.1016/j.eurpolymj.2008.11.017 ↗
33. 10.1002/adma.20180185210.1002/adma.201801852 ↗
34. Materiom https://commons.materiom.org/materials‐database (accessed: June 2024).
35. 10.1525/bio.2009.59.11.910.1525/bio.2009.59.11.9 ↗
36. 10.1177/096366251560740610.1177/0963662515607406 ↗
37. 10.1016/j.resconrec.2019.10467610.1016/j.resconrec.2019.104676 ↗
38. Do M. · Food Packaging and Shelf Life · 2018
39. 10.1016/j.scitotenv.2018.06.12810.1016/j.scitotenv.2018.06.128 ↗
40. 10.1007/978-3-319-72041-8_1710.1007/978-3-319-72041-8_17 ↗
41. 10.1039/C3CS60235D10.1039/C3CS60235D ↗
42. 10.1002/admt.20230067810.1002/admt.202300678 ↗
43. T.Cheng T.Tabb J. W.Park E. M.Gallo A.Maheshwari G. D.Abowd H.Oh A.Danielescu inProceedings of the 2023 CHI Conference on Human Factors in Computing Systems CHI '23.Association for Computing Machinery New York NY USA ISBN 9781450394215 2023.
44. 10.1002/adma.20220326610.1002/adma.202203266 ↗
45. 10.1016/j.cej.2023.14789410.1016/j.cej.2023.147894 ↗
46. 10.1002/advs.20230167310.1002/advs.202301673 ↗
47. 10.1016/j.jclepro.2022.13425410.1016/j.jclepro.2022.134254 ↗
48. 10.1021/acsami.9b0732510.1021/acsami.9b07325 ↗
49. Lu B. · Nat. Commun. · 2019
50. 10.1016/j.nanoen.2023.10816810.1016/j.nanoen.2023.108168 ↗
51. Kurian A. G. · ACS Appl. Mater. Interfaces · 2024
52. 10.1021/acsbiomaterials.1c0090810.1021/acsbiomaterials.1c00908 ↗
53. 10.1002/adfm.20130332110.1002/adfm.201303321 ↗
54. 10.1007/978-88-470-2463-210.1007/978-88-470-2463-2 ↗