Jump to main content
Jump to site search
PLANNED MAINTENANCE Close the message box

Scheduled maintenance work on Wednesday 27th March 2019 from 11:00 AM to 1:00 PM (GMT).

During this time our website performance may be temporarily affected. We apologise for any inconvenience this might cause and thank you for your patience.

3D printing of ionic conductors for high-sensitivity wearable sensors

Author affiliations


Transparent conductors with high stretchability are highly desirable for wearable sensors and electronics. However, the existing applications of sensors involving electronic conductors are limited by the significant resistance increase upon deformation and the laborious device fabrication. Herein, we constructed ionically conductive hydrogels using a photopolymerization-based 3D printing technique, and then developed transparent, highly stretchable, and elastic hydrogels into capacitive sensors, enabling sensing of both pressure and strain. The 3D printing of ionic conductors provides an effective and flexible way to manufacture microstructure electrodes, thus greatly simplifying the device fabrication process, and in the meantime endowing the device with high sensitivity and low detection limit. Its superior capabilities are demonstrated by high-fidelity body signal acquisition over multiple skin locations. In addition to providing an approach for preparing high-precision ionic conductors with microstructures, this work also paves the way for the development of a new class of smart electronics and artificial intelligence.

Graphical abstract: 3D printing of ionic conductors for high-sensitivity wearable sensors

Back to tab navigation

Supplementary files

Publication details

The article was received on 04 Nov 2018, accepted on 15 Jan 2019 and first published on 15 Jan 2019

Article type: Communication
DOI: 10.1039/C8MH01398E
Citation: Mater. Horiz., 2019, Advance Article

  •   Request permissions

    3D printing of ionic conductors for high-sensitivity wearable sensors

    X. Yin, Y. Zhang, X. Cai, Q. Guo, J. Yang and Z. L. Wang, Mater. Horiz., 2019, Advance Article , DOI: 10.1039/C8MH01398E

Search articles by author