journal article·2023-03-01Open access

Scalable Fabrication of an MXene/Cotton/Spandex Yarn for Intelligent Wearable Applications

Sizhuo Zou, Daiqi Li, Chengen He, Xin Wang, Deshan Cheng, Guangming Cai

Abstract

Wearable sensors based on MXene have attracted attention, but the large-scale production of MXene-based textile materials is still a huge challenge. Hereby, we report a facile way of incorporating MXene into the traditional yarn manufacturing process by dipping and drying MXene into cotton rovings followed by fabricating an MXene/cotton/spandex yarn (MCSY) using friction spinning. The MXene in the MCSY brings electrical conductivity to the MCSY with well-preserved mechanical properties. Due to its wide sensing range from 408 Pa to 10.2 kPa, the MCSY can be used to monitor human motions in real time, such as writing, walking, and wrist bending. In addition, the MCSY exhibits a stable compression sensing performance even under different strains. Furthermore, the MCSY can be sewn into clothing or onto a mask as an embroidery pattern to develop sensing device prototypes capable of detecting touching or breathing. The reported manufacturing technology of the MCSY will lead to an industrial-scale development of MXene-based e-textiles for wearable applications.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Polydiacetylene-based materials and applications

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

Affiliations

State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan 430200, P.R. China

Centre for Materials Innovation and Future Fashion, School of Fashion and Textiles, RMIT University, Brunswick 3056, Australia

Funding

State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University

References (57)

Show source-provided references
1. 10.1021/acsami.0c0884010.1021/acsami.0c08840 ↗
2. 10.1016/j.ultras.2021.10651110.1016/j.ultras.2021.106511 ↗
3. 10.1016/j.compositesb.2019.10768310.1016/j.compositesb.2019.107683 ↗
4. 10.1016/j.materresbull.2021.11145210.1016/j.materresbull.2021.111452 ↗
5. 10.1021/acsami.8b1188510.1021/acsami.8b11885 ↗
6. 10.1016/j.compositesa.2021.10652010.1016/j.compositesa.2021.106520 ↗
7. 10.1021/acsami.8b1882310.1021/acsami.8b18823 ↗
8. 10.1016/j.compscitech.2018.08.02210.1016/j.compscitech.2018.08.022 ↗
9. 10.1021/acsami.1c0098310.1021/acsami.1c00983 ↗
10. 10.1002/adfm.20200800610.1002/adfm.202008006 ↗
11. 10.1002/adfm.20200762210.1002/adfm.202007622 ↗
12. 10.1016/j.cej.2020.12689810.1016/j.cej.2020.126898 ↗
13. 10.1016/j.snb.2017.06.06210.1016/j.snb.2017.06.062 ↗
14. 10.1016/j.compositesa.2021.10655610.1016/j.compositesa.2021.106556 ↗
15. 10.1021/nn103523t10.1021/nn103523t ↗
16. 10.1002/mame.20200042110.1002/mame.202000421 ↗
17. 10.1002/adma.20150355810.1002/adma.201503558 ↗
18. 10.1016/j.jcis.2019.11.05910.1016/j.jcis.2019.11.059 ↗
19. 10.1021/acs.langmuir.0c0359510.1021/acs.langmuir.0c03595 ↗
20. 10.1016/j.matt.2019.07.01610.1016/j.matt.2019.07.016 ↗
21. 10.1016/j.cej.2022.13846510.1016/j.cej.2022.138465 ↗
22. 10.1007/s10570-020-03617-510.1007/s10570-020-03617-5 ↗
23. 10.1002/ente.20210016610.1002/ente.202100166 ↗
24. 10.3390/s2112417410.3390/s21124174 ↗
25. 10.1002/ange.20170421710.1002/ange.201704217 ↗
26. 10.3390/s2103081410.3390/s21030814 ↗
27. 10.1021/acsami.1c0086410.1021/acsami.1c00864 ↗
28. 10.1002/adfm.20200667910.1002/adfm.202006679 ↗
29. 10.1039/D0TA10991F10.1039/D0TA10991F ↗
30. 10.1002/adfm.20150475510.1002/adfm.201504755 ↗
31. 10.1016/j.nanoen.2021.10586610.1016/j.nanoen.2021.105866 ↗
32. 10.1002/adma.20170251710.1002/adma.201702517 ↗
33. 10.1021/acsami.7b1143110.1021/acsami.7b11431 ↗
34. 10.1002/smll.20210054210.1002/smll.202100542 ↗
35. 10.1016/j.cej.2020.12772010.1016/j.cej.2020.127720 ↗
36. Jagadeshvaran P. · Prog. Org. Coat. · 2021 · 159 · 10640410.1016/j.porgcoat.2021.106404 ↗
37. 10.1007/s10570-019-02628-110.1007/s10570-019-02628-1 ↗
38. 10.1007/s10570-019-02526-610.1007/s10570-019-02526-6 ↗
39. 10.1021/acsami.9b0922910.1021/acsami.9b09229 ↗
40. 10.1021/acsnano.1c0074910.1021/acsnano.1c00749 ↗
41. 10.1021/acsami.1c0898510.1021/acsami.1c08985 ↗
42. 10.1016/j.mtadv.2020.10012010.1016/j.mtadv.2020.100120 ↗
43. 10.1002/adfm.20200073910.1002/adfm.202000739 ↗
44. 10.1016/j.compositesb.2021.10890210.1016/j.compositesb.2021.108902 ↗
45. 10.1016/j.mattod.2020.02.00510.1016/j.mattod.2020.02.005 ↗
46. 10.1002/adfm.20190501510.1002/adfm.201905015 ↗
47. 10.1039/C7NR06619H10.1039/C7NR06619H ↗
48. 10.1021/acsnano.0c0177910.1021/acsnano.0c01779 ↗
49. 10.1002/gch2.20190003710.1002/gch2.201900037 ↗
50. 10.1002/smll.20180473210.1002/smll.201804732 ↗
51. 10.1002/adfm.20191050410.1002/adfm.201910504 ↗
52. 10.1080/0040500870865824810.1080/00405008708658248 ↗
53. 10.1007/s10570-021-04316-510.1007/s10570-021-04316-5 ↗
54. 10.1002/aenm.20160272510.1002/aenm.201602725 ↗
55. 10.1016/j.snb.2020.12896910.1016/j.snb.2020.128969 ↗
56. 10.1021/acs.chemmater.8b0397610.1021/acs.chemmater.8b03976 ↗
57. 10.1021/acsnano.7b0526410.1021/acsnano.7b05264 ↗