Hydrogel Machines for Seamless Living System Interfaces

Introduction

Bioelectronic interfaces are machines designed to exchange information with living matter. They are opening new frontiers in medicine. For example, machines implanted in the body may soon enable repair of damaged tissues or replacement of functions affected by chronic disease. The realization of this vision is impeded by the available hardware. Today’s materials, devices, and systems are electronic, while soft living matter uses ions and molecules for communication and computation.

Central Hypothesis

The central hypothesis of GELECTRO is: electrically conductive hydrogels can enable bioelectronic machines that are multimodal and nearly indistinguishable from the biological host. The project will thus contribute a new class of interfacing technologies that are made almost entirely of water. If successful, they will not only blur the boundary with the host but also tap into the control loops that organize and maintain the living system.

Key Aims

The hypothesis will be validated by achieving five key aims:

1. Hydrogels with dual (electronic and ionic) conductivity will be created by combining organic conductor and biomacromolecule building blocks.
2. A tailored additive microfabrication method will be developed to combine hydrogels in devices.
3. Devices that transduce electronic commands into ionic currents, release/sequestration of signaling molecules, and mechanical actuation (and vice versa) will be constructed.
4. Devices will be integrated in arrays and in circuits capable of sensing and actuation in aqueous environments.
5. An impact case study interfacing GELECTRO machines with cortical organoid cultures will be developed. By emulating the finely tuned morphogens present in the early stages of brain development, GELECTRO machines will encode advanced tissue organization and emergent electrical activity in the organoids.

Conclusion

The project will catalyze interest in hydrogel-based electronics as a promising technology for next-generation human-machine interfaces.