Textile Electronics with Laser-Induced Graphene/Polymer Hybrid Fibers.

conductive textile graphene composite laser processing textile sensor wearables

Journal

ACS applied materials & interfaces
ISSN: 1944-8252
Titre abrégé: ACS Appl Mater Interfaces
Pays: United States
ID NLM: 101504991

Informations de publication

Date de publication:
16 Aug 2023
Historique:
medline: 19 7 2023
pubmed: 19 7 2023
entrez: 19 7 2023
Statut: ppublish

Résumé

The concept of wearables is rapidly evolving from flexible polymer-based devices to textile electronics. The reason for this shift is the ability of textiles to ensure close contact with the skin, resulting in comfortable, lightweight, and compact "always with you" sensors. We are contributing to this polymer-textile transition by introducing a novel and simple way of laser intermixing of graphene with synthetic fabrics to create wearable sensing platforms. Our hybrid materials exhibit high electrical conductivity (87.6 ± 36.2 Ω/sq) due to the laser reduction of graphene oxide and simultaneous laser-induced graphene formation on the surface of textiles. Furthermore, the composite created between graphene and nylon ensures the durability of our materials against sonication and washing with detergents. Both of these factors are essential for real-life applications, but what is especially useful is that our free-form composites could be used as-fabricated without encapsulation, which is typically required for conventional laser-scribed materials. We demonstrate the exceptional versatility of our new hybrid textiles by successfully recording muscle activity, heartbeat, and voice. We also show a gesture sensor and an electrothermal heater embedded within a single commercial glove. Additionally, the use of these textiles could be extended to personal protection equipment and smart clothes. We achieve this by implementing self-sterilization with light and laser-induced functionalization with silver nanoparticles, which results in multifunctional antibacterial textiles. Moreover, incorporating silver into such fabrics enables their use as surface-enhanced Raman spectroscopy sensors, allowing for the direct analysis of drugs and sweat components on the clothing itself. Our research offers valuable insights into simple and scalable processes of textile-based electronics, opening up new possibilities for paradigms like the Internet of Medical Things.

Identifiants

pubmed: 37466067
doi: 10.1021/acsami.3c06968
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

38946-38955

Auteurs

Anna Lipovka (A)

Tomsk Polytechnic University, Lenina Ave. 30, Tomsk 634034, Russia.

Maxim Fatkullin (M)

Tomsk Polytechnic University, Lenina Ave. 30, Tomsk 634034, Russia.

Sergey Shchadenko (S)

Tomsk Polytechnic University, Lenina Ave. 30, Tomsk 634034, Russia.

Ilia Petrov (I)

Tomsk Polytechnic University, Lenina Ave. 30, Tomsk 634034, Russia.

Anna Chernova (A)

Tomsk Polytechnic University, Lenina Ave. 30, Tomsk 634034, Russia.

Evgenii Plotnikov (E)

Tomsk Polytechnic University, Lenina Ave. 30, Tomsk 634034, Russia.

Vitaliy Menzelintsev (V)

Tomsk Polytechnic University, Lenina Ave. 30, Tomsk 634034, Russia.

Shuang Li (S)

College of Polymer Science and Engineering, State Key Laboratory of Polymer Materials Engineering, Department of Ultrasound, West China Hospital, Sichuan University, Chengdu 610065, China.

Li Qiu (L)

College of Polymer Science and Engineering, State Key Laboratory of Polymer Materials Engineering, Department of Ultrasound, West China Hospital, Sichuan University, Chengdu 610065, China.

Chong Cheng (C)

College of Polymer Science and Engineering, State Key Laboratory of Polymer Materials Engineering, Department of Ultrasound, West China Hospital, Sichuan University, Chengdu 610065, China.

Raul D Rodriguez (RD)

Tomsk Polytechnic University, Lenina Ave. 30, Tomsk 634034, Russia.

Evgeniya Sheremet (E)

Tomsk Polytechnic University, Lenina Ave. 30, Tomsk 634034, Russia.

Classifications MeSH