The regenerative potential of the peripheral nervous system (PNS) makes it of great interest to develop new strategies to improve it and obtain a full recovery of motor and sensory function. When peripheral nerve injury occurs, Schwann cells are involved in the regeneration and guidance of axons. However, in severe injuries, such as amputations, the regenerative capacity of the PNS may be insufficient. This represents a significant challenge in the field of neuroscience and bioengineering, as lost tissue cannot regenerate on its own.

To address this problem, we propose to develop artificial devices capable of replacing the missing tissue and performing the same functions as the lost tissue, transmitting afferent and efferent signals. These devices require an advanced neural interface that transforms chemical signals into electrical signals via a biohybrid synapse.

This project aims to create a biohybrid neural interface that, by means of a graphene transducer, detects the acetylcholine released by motor neurons and transforms this chemical signal into an electrical one. This system will allow artificial devices to interpret and respond to the user's motor intentions, providing information about the desired movement. The integration of graphene, a material known for its high conductivity, will ensure fast and efficient signal transmission, improving the interaction between the biological system and the device.

In this context, the main objective is to develop a biohybrid neural interface that replaces the lost muscle tissue, establishing a biohybrid synapse between an artificial device and the nervous system, by obtaining electrical signals based on the amount of neurotransmitter produced by the regenerated neurons.

The secondary objectives are as follows:

• To manufacture an electrochemical biosensor that reacts to the neurotransmitter acetylcholine.
• To improve the capacity of the biosensor to obtain electrical signals from chemical signals.
• To achieve a biohybrid synapse between motor neuron and biosensor.

This approach could revolutionise the treatment of amputees, offering a more natural and intuitive control of the device, which would significantly improve their quality of lif