3D-printable Sustainable Gelatin/Ethaline (GelEth) Ionic Eutectogels for Soft Wearables

The push for sustainability in soft robotics has exposed the field's reliance on non-biodegradable materials like thermosetting elastomers, driving the need for eco-friendly alternatives such as biopolymers and deep eutectic solvents (DES). When combined with biopolymers like gelatin, DES form stable, ionically conductive eutectogels, which are well-suited for capacitance- and resistance-based soft sensors. However, the lack of 3D-printing methods for these eutectogels has limited their design flexibility and application in soft robotics. In this work, we present a method and platform for 3D-printing of gelatin/ethaline (GelEth) eutectogels. Our platform, featuring a heated print head and coolable stage, was designed based on material properties and thermal simulations. We successfully 3D-printed GelEth into complex shapes. Moreover, we 3D-printed GelEth mesh structures on kinesiology tape to create on-body strain sensors for joint motion monitoring in the elbow and cervicothoracic junction, which demonstrated consistently excellent strain detection performance. The simplicity and low cost of both the developed 3D-printing platform and the fully sustainable GelEth material offer opportunities for personalized, on-demand use in disposable or reusable modes. We propose that 3D-printed GelEth has significant potential for applications in medical and rehabilitation devices, haptics, and AR/VR systems.

Authors

Institutions

Publication Details

Published
2025-04-22
DOI
https://doi.org/10.1109/robosoft63089.2025.11020846
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

3D-printable Sustainable Gelatin/Ethaline (GelEth) Ionic Eutectogels for Soft Wearables

Aslan Miriyev, Yi Jiang, Sergey Nechausov, Yuchen Wang
Advanced Sensor and Energy Harvesting Materials
article

3D-printable Sustainable Gelatin/Ethaline (GelEth) Ionic Eutectogels for Soft Wearables

Aslan Miriyev, Yi Jiang, Sergey Nechausov, Yuchen Wang
article en

Abstract

The push for sustainability in soft robotics has exposed the field's reliance on non-biodegradable materials like thermosetting elastomers, driving the need for eco-friendly alternatives such as biopolymers and deep eutectic solvents (DES). When combined with biopolymers like gelatin, DES form stable, ionically conductive eutectogels, which are well-suited for capacitance- and resistance-based soft sensors. However, the lack of 3D-printing methods for these eutectogels has limited their design flexibility and application in soft robotics. In this work, we present a method and platform for 3D-printing of gelatin/ethaline (GelEth) eutectogels. Our platform, featuring a heated print head and coolable stage, was designed based on material properties and thermal simulations. We successfully 3D-printed GelEth into complex shapes. Moreover, we 3D-printed GelEth mesh structures on kinesiology tape to create on-body strain sensors for joint motion monitoring in the elbow and cervicothoracic junction, which demonstrated consistently excellent strain detection performance. The simplicity and low cost of both the developed 3D-printing platform and the fully sustainable GelEth material offer opportunities for personalized, on-demand use in disposable or reusable modes. We propose that 3D-printed GelEth has significant potential for applications in medical and rehabilitation devices, haptics, and AR/VR systems.

Ben-Gurion University of the Negev (IL)
Responsible consumption and production
Openalex Percentile: Top 88%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

3D-printable Sustainable Gelatin/Ethaline (GelEth) Ionic Eutectogels for Soft Wearables — Aslan Miriyev, Yi Jiang, et al. · (2025) | TGRS Research Map | TGRS