Abstract
Over the past decade, advances in bioelectronics have opened new avenues for seamless integration between electronic devices and living tissues, offering unprecedented opportunities for neuroscience, cardiology, and translational medicine. Yet, the development of truly biocompatible, high1performance interfaces remains a critical bottleneck. Conventional inorganic electrodes suffer from mechanical mismatch with soft neural tissue, limited charge transfer efficiency, and chronic foreign1body responses. By employing conjugated polymers as soft and biocompatible interfaces, organic bioelectronics merges biological systems with electronic functionalities. This thesis aims to tackle this challenge by harnessing the unique optoelectronic and mixed1conducting properties of conjugated polymer poly(31hexylthiophene) (P3HT) to create next1generation bio hybrid interfaces, focusing on their electrical properties, biocompatibility, and impact on cellular activity. Fabrication techniques such as spin-coating, spray-coating and electrodeposition are evaluated for their influence on polymer morphology, conductivity, and stability. To further enhance biological relevance, human induced pluripotent stem cell (hiPSC)-derived neurons are utilized, allowing the potential study of patient-specific neuronal responses and personalized bioelectronic applications. So, biocompatibility, cell adhesion, and the impact of the polymer film on the differentiation of hiPSCs into neurons are examined. Characterization techniques, including patch-clamp and multi-electrode arrays (MEA) recordings, provide insights into polymer-neuron interactions, cellular excitability, and synaptic activity. Considering this, by integrating material properties, electrophysiological compatibility, and electrochemical functionality, this work presents a versatile and scalable bioelectronic interface system designed to develop a biohybrid platform enabling optoelectrical monitoring, control, and stimulation of cellular behaviour in vitro. The resulting P3HT1based interfaces promise to accelerate research in neuroprosthetics, disease modeling, and regenerative therapies, paving the way toward personalized, minimally invasive devices.