journal article·2021-09-01Open access

Gold and silver nanocomposite-based biostable and biocompatible electronic textile for wearable electromyographic biosensors

Taehwan Lim, Huanan Zhang, Sohee Lee

APL Materials· Volume 9· Issue 9

Abstract

Wearable biosensors have received significant attention due to the possibility of measuring physiological signals on demand. Particularly, the monitoring of electromyographic (EMG) signals on demand by wearable platforms has significant potential to revolutionize the diagnostics and treatment of neuromuscular diseases and for advancing human–computer interfaces. Electronic textile-based biosensors have several advantages, including the simple scale-up process and the ease of fabricating multiple large area electrodes over the whole body to obtain precise measurements. Hence, the electronic textile production requires an affordable approach to fabricate biocompatible and biostable electronic circuits on textile materials. This work explores the possibility of combining screen printing and electrodeposition techniques to produce a biostable nanocomposite-based EMG biosensor on textile. Screen printing was selected to fabricate conductive fabrics that would ultimately be a highly durable textile-based sensor. Silver paste, including microscale silver flakes, was printed on PET/cotton blended fabrics. However, the microscale silver surface was limited for EMG sensors due to low surface area and toxicity, causing low signal detection performance and skin irritation. Gold nanoparticles (Au NPs) were deposited on silver flakes to address the requirements of high-performance and biocompatible biosensors. We confirmed that the gold functionalization improved electrical and electrochemical performance. In addition, various tests were performed to determine electrochemical and biological stability under physiological conditions. The test results proved that Au NPs have successfully encapsulated the surface of silver flakes, preventing the exposure of the silver to the physiological environment. EMG signal recording was performed to confirm the functionalization effect that improved the signal to noise ratio (SNR) of 12.5 with 120 nm Au NPs. Moreover, EMG sensing from bicep workouts and finger movements showed the high sensitivity of the electronic fabrics. Although the SNR of EMG signals dropped to 7.2 after a 15-time washing test, the stabilized SNR after 5 washing cycles indicated that the Au/Ag biosensors showed washing durability. The study demonstrates that this affordable approach can be considered for large-scale production of wearable EMG biosensors.
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Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Muscle activation and electromyography studies

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

Affiliations

Department of Chemical Engineering, University of Utah 1 , Salt Lake City, Utah 84112, USA

Department of Clothing and Textiles, Gyeongsang National University 2 , Jinju 52828, South Korea

Research Institute of Natural Science, Gyeongsang National University 3 , Jinju 52828, South Korea

Funding

National Research Foundation of Korea

References (59)

Show source-provided references
1. IEEE Trans. Biomed. Eng. · 2014 · 61 · 153810.1109/tbme.2014.2309951 ↗
2. Sensors · 2015 · 15 · 372110.3390/s150203721 ↗
3. Adv. Mater. · 2015 · 27 · 243310.1002/adma.201500009 ↗
4. ACS Appl. Mater. Interfaces · 2017 · 9 · 478810.1021/acsami.6b12448 ↗
5. ACS Nano · 2019 · 13 · 384710.1021/acsnano.9b00319 ↗
6. Adv. Mater. · 2019 · 31 · 190140810.1002/adma.201901408 ↗
7. Nature · 2001 · 409 · 40310.1038/35053191 ↗
8. ACS Appl. Mater. Interfaces · 2016 · 8 · 2107010.1021/acsami.6b05025 ↗
9. Sci. Rep. · 2016 · 6 · 2572710.1038/srep25727 ↗
10. Sci. Rep. · 2016 · 6 · 3657110.1038/srep36571 ↗
11. IEEE Trans. Neural Syst. Rehabil. Eng. · 2016 · 24 · 73410.1109/tnsre.2015.2454503 ↗
12. ACS Appl. Mater. Interfaces · 2018 · 10 · 1408710.1021/acsami.7b19699 ↗
13. Adv. Funct. Mater. · 2018 · 28 · 180168310.1002/adfm.201801683 ↗
14. Nano Lett. · 2019 · 19 · 659210.1021/acs.nanolett.9b02862 ↗
15. Adv. Funct. Mater. · 2015 · 25 · 311410.1002/adfm.201500628 ↗
16. Adv. Mater. · 2021 · 33 · 200315510.1002/adma.202003155 ↗
17. Proc. Natl. Acad. Sci. U. S. A. · 2020 · 117 · 20510.1073/pnas.1917762116 ↗
18. Adv. Mater. Technol. · 2020 · 5 · 200065410.1002/admt.202000654 ↗
19. Appl. Phys. Lett. · 2001 · 79 · 299610.1063/1.1413501 ↗
20. Nano Energy · 2020 · 77 · 10529510.1016/j.nanoen.2020.105295 ↗
21. Adv. Mater. Technol. · 2019 · 4 · 190019610.1002/admt.201900196 ↗
22. Adv. Healthcare Mater. · 2016 · 5 · 99610.1002/adhm.201600092 ↗
23. J. Mater. Chem. C · 2017 · 5 · 1164010.1039/c7tc03669h ↗
24. Text. Res. J. · 2015 · 85 · 178910.1177/0040517515578333 ↗
25. Adv. Mater. · 2017 · 29 · 160584810.1002/adma.201605848 ↗
26. Sens. Actuators, A · 2018 · 274 · 10910.1016/j.sna.2018.03.003 ↗
27. ACS Appl. Mater. Interfaces · 2018 · 10 · 3876010.1021/acsami.8b13257 ↗
28. PLoS One · 2018 · 13 · e020545810.1371/journal.pone.0205458 ↗
29. Toxicol. Appl. Pharmacol. · 2010 · 242 · 2910.1016/j.taap.2009.09.011 ↗
30. Nano Lett. · 2012 · 12 · 339110.1021/nl3015632 ↗
31. APL Mater. · 2020 · 8 · 10111210.1063/5.0019720 ↗
32. Adv. Funct. Mater. · 2017 · 27 · 160463110.1002/adfm.201604631 ↗
33. ACS Appl. Mater. Interfaces · 2015 · 7 · 709310.1021/acsami.5b00410 ↗
34. ACS Appl. Mater. Interfaces · 2013 · 5 · 239210.1021/am4004254 ↗
35. Nat. Nanotechnol. · 2018 · 13 · 104810.1038/s41565-018-0226-8 ↗
36. Nano Lett. · 2019 · 19 · 447810.1021/acs.nanolett.9b01293 ↗
37. Smart Mater. Struct. · 2021 · 30 · 07500610.1088/1361-665x/abfb7f ↗
38. Sci. Rep. · 2017 · 7 · 473310.1038/s41598-017-05192-5 ↗
39. RSC Adv. · 2015 · 5 · 1162710.1039/c4ra15101a ↗
40. Adv. Funct. Mater. · 2018 · 28 · 180327910.1002/adfm.201803279 ↗
41. Ind. Eng. Chem. Res. · 2007 · 46 · 271010.1021/ie0700617 ↗
42. Dyes Pigm. · 2019 · 166 · 13010.1016/j.dyepig.2019.03.025 ↗
43. J. Alloys Compd. · 2015 · 649 · 38710.1016/j.jallcom.2015.06.236 ↗
44. Sci. Rep. · 2016 · 6 · 2726210.1038/srep27262 ↗
45. Nat. Nanotechnol. · 2017 · 12 · 100610.1038/nnano.2017.133 ↗
46. Angew. Chem., Int. Ed. · 2013 · 52 · 812910.1002/anie.201302958 ↗
47. Nanotechnology · 2018 · 29 · 41400110.1088/1361-6528/aad678 ↗
48. ACS Appl. Mater. Interfaces · 2009 · 1 · 255110.1021/am9004754 ↗
49. Langmuir · 2002 · 18 · 683910.1021/la020151a ↗
50. Electrochim. Acta · 2018 · 264 · 18310.1016/j.electacta.2018.01.060 ↗
51. Appl. Phys. Lett. · 2006 · 89 · 18191810.1063/1.2378483 ↗
52. Nano Lett. · 2010 · 10 · 500610.1021/nl103161q ↗
53. J. Neurosci. Methods · 2009 · 181 · 4510.1016/j.jneumeth.2009.04.011 ↗
54. IEEE Trans. Biomed. Eng. · 2003 · 50 · 26210.1109/tbme.2002.807641 ↗
55. J. Hand Surg. Am. · 1992 · 17 · 80410.1016/0363-5023(92)90446-v ↗
56. Am. J. Anat. · 1961 · 109 · 22710.1002/aja.1001090302 ↗
57. J. Neuroeng. Rehabil. · 2014 · 11 · 12210.1186/1743-0003-11-122 ↗
58. Front. Neurorobot. · 2019 · 13 · 7510.3389/fnbot.2019.00075 ↗
59. Int. J. Humanoid Robot. · 2015 · 12 · 155001110.1142/s0219843615500115 ↗