Polypyrrole-coated copper nanowire-threaded silver nanoflowers for wearable strain sensors with high sensing performance

Songfang Zhao, Xiangying Meng, Lin Liu, Wenjie Bo, Meili Xia, Ruliang Zhang, Duxia Cao, Jong Hyun Ahn

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

Although the development of wearable strain sensors with a wide sensing range (>50%) and high sensitivity (gauge factor (GF), > 100) is highly desirable, it also presents a grand challenge owing to the inverse relationship between sensitivity and sensing range in designing strain-sensing materials and geometric structures. In this study, we fabricate versatile conductive composites by embedding polypyrrole-coated copper nanowire (Cu@PPy NW)–threaded Ag nanoflowers (NFs) in a poly(styrene-block-butadiene-block-styrene) (SBS) matrix. The fabrication process is simple, energy–saving, and scalable. Moreover, the obtained cluster structures derived from Cu@PPy NW–threaded Ag NFs endow the composites with excellent electromechanical performance, which is demonstrated by its wide sensing range (up to 185% strain), high sensitivity (GF up to 1.28 × 106), as well as excellent reliability and stability. The superiority in sensing range and sensitivity is a result of the combination of the fracture–sensing mechanism, constrained crack–propagation mechanism by the matrix, slippage–sensing mechanism, and double bridge functions of Ag NFs and Cu@PPy NWs. The high performance allows the strain sensors to monitor full–range human motions.

Original languageEnglish
Article number127966
JournalChemical Engineering Journal
Volume417
DOIs
Publication statusPublished - 2021 Aug 1

Bibliographical note

Funding Information:
This work was financially supported by the National Natural Science Foundation of China (21601065), the Natural Science Foundation of Shandong Province (ZR2017MEM006). J.-H. Ahn acknowledges the support from the National Research Foundation of Korea (NRF-2015R1A3A2066337).

Publisher Copyright:
© 2020 Elsevier B.V.

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Environmental Chemistry
  • Chemical Engineering(all)
  • Industrial and Manufacturing Engineering

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