@misc{10481/108849,
year = {2025},
month = {12},
url = {https://hdl.handle.net/10481/108849},
abstract = {Graphene-based materials hold great potential for the development of neural interfaces; however, conventional
fabrication techniques often involve costly and intricate processes, limiting their scalability and practical implementation. In contrast,
laser-induced graphene (LIG) provides a highly scalable, cost-effective, and direct laser-writing technique for the fabrication of
nanostructured graphene-like sheets. LIG enables the rapid and accessible production of customizable substrates without the need
for complex processing or expensive precursors. Moreover, its versatility allows for precise control over laser parameters, allowing the
fine-tuning of critical physicochemical properties such as electrical conductivity, wettability, and surface roughness. This adaptability
makes LIG an attractive platform for engineering graphene-based biomaterials, particularly for neural interfaces, where surface
characteristics influence key biological responses, including cell adhesion, proliferation, and differentiation. In this study, we
engineered and characterized three distinct LIG substrates with tailored topographies, defined patterns, and controlled
physicochemical properties, assessing their stability under biological environments. Systematic analysis of wettability, surface
roughness, mechanical and electrical properties revealed that these parameters remain stable under physiological conditions.
Furthermore, preliminary biocompatibility assays using neural-like cells demonstrate encouraging results. Notably variations in laserinduced
patterning significantly influenced cellular behavior, with specific topographies enhancing adhesion and promoting guided
cellular alignment. These findings highlight the critical role of surface architecture in modulating cell responses, reinforcing the
potential of these substrates for neuro-biomedical applications. Our work highlights the potential of LIG as a tunable and scalable
strategy for the development of next-generation neural interfaces and pave the way for future studies aimed at harnessing LIG’s
versatility for next-generation neural interfaces.},
organization = {MICIU/AEI/10.13039/501100011033 RYC2019-027692-I, PID2020-117344RB-I00, PID2023-151913NB-I00},
organization = {“ESF Investing in your future”},
organization = {ERDF, European Union},
organization = {Research Plan (reference PPJIB2024-78)},
organization = {SECIHTI scholarship No. CVU: 1011913},
organization = {Universidad de Granada/CBUA},
publisher = {ACS Publications},
keywords = {Laser-induced graphene (LIG)},
keywords = {Conductivity},
keywords = {Topography},
title = {Laser-Induced Graphene Interfaces with Controlled Electrical Conductivity, Topography and Wettability for Biomedical Applications},
doi = {10.1021/acsanm.5c05398},
author = {Hernández-Cubas, Lidia Lizbeth and Sánchez Moreno, Paola and Capasso, Andrea and López López, Modesto Torcuato and Moltó Ramírez, Alejandro and Rodríguez Santiago, Noel and Bramini, Mattia and Moraila-Martínez, Carmen Lucía},
}