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Layer-by-layer Collagen Deposition in Microfluidic Devices for Microtissue Stabilization
Published on: September 29, 2015
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Sustainable Collagen Blends with Different Ionic Liquids for Resistive Touch Sensing Applications
Mireia Andonegi1, Daniela Correia2, Nelson Pereira3
1BIOMAT Research Group, University of the Basque Country (UPV/EHU), Escuela de Ingeniería de Gipuzkoa, Plaza de Europa 1, 20018 Donostia-San Sebastián, Spain.
Summary
This study developed sustainable collagen-based sensor materials using ionic liquids (ILs) for the Internet of Things (IoT). The collagen/[Ch][Seri] blend showed excellent ionic conductivity, enabling a functional resistive touch sensor.
Area of Science:
- Materials Science
- Polymer Chemistry
- Sensor Technology
Background:
- Sustainable development goals necessitate eco-friendly materials for the Internet of Things (IoT).
- Natural polymers like collagen offer a sustainable base for advanced electronic components.
- Ionic liquids (ILs) can modify polymer properties for tailored applications.
Purpose of the Study:
- To create sustainable sensor materials by blending collagen with various ionic liquids.
- To investigate how different IL types and concentrations affect collagen-based material properties.
- To demonstrate the potential of these blends in touch sensing devices.
Main Methods:
- Preparation of collagen-ionic liquid blends with varying compositions.
- Characterization of mechanical, thermal, and electrical properties.
- Fabrication and testing of a resistive touch sensor prototype.
Main Results:
- Collagen/[Ch][Seri] blends exhibited significant changes in mechanical properties.
- The optimal ionic conductivity of 0.023 mS cm⁻¹ was achieved with 40 wt% [Ch][Seri].
- The developed films functioned effectively as resistive touch sensors.
Conclusions:
- Collagen-ionic liquid blends are promising for next-generation sustainable electronics.
- Tailoring IL content allows for precise control over sensor material properties.
- These materials are suitable for eco-friendly touch sensing applications in IoT devices.

