Highly conductive nylon 6 nanofiber webs, incorporating poly(3,4-ethylenedioxythiophene): poly(styrenesulfonate) (PEDOT:PSS) and dimethyl sulfoxide (DMSO), were prepared for textile-based signal transmission lines. To improve the electrical performance of the textiles, they were optimized by the number of coating cycles and the solvent treatment step. The nanofiber web coated four times with PEDOT:PSS showed a six-times reduction in sheet resistance compared to that of once. In addition, the sample treated with both adding and dipping of DMSO showed a significant decrease of 83 times in sheet resistance compared to the sample without treatment of DMSO. Using samples with excellent electrical conductivity, the waveforms of the signal in the time domain were analyzed and shown to have an amplitude and phase almost identical to that of the conventional copper wire. As a result of the S21 characteristic curve, selected textiles were available up to the 15 MHz frequency bandwidth. In the FE-SEM image, it was observed that the surface of the coated sample was generally covered with PEDOT:PSS, which was distinguished from the untreated sample. These results demonstrate that the nanofiber web treated with the optimized conditions of PEDOT:PSS and DMSO can be applied as promising textile-based signal transmission lines for smart clothing.
Bibliographical noteFunding Information:
Funding: This research was funded by the Brain Korea 21 Plus Project of Dept. of Clothing and Textiles, Yonsei University in 2021. And the APC was funded by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science, and Technology (No. NRF-2019R1F1A1060955).
the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science, Materials2021,14,498and Technology (No. NRF-2019R1F1A1060955) and the Brain Korea 21 Plus Project of Dept. of Clothing and Textiles, Yonsei University in 2021.
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
All Science Journal Classification (ASJC) codes
- Materials Science(all)