UV-VIS laser parameter effects on the physicochemical properties of Laser-Induced Graphene

Laser-induced graphene (LIG) is a versatile and scalable technique for the low-cost production of graphene-like sensing devices. However, the performance of these devices is hypersensitive to the engraving parameters used during fabrication. In this work, we systematically varied laser engraving speed and power to explore their influence on the physical and electrochemical properties of LIG electrodes to achieve low resistance, high LIG porosity, and enhanced sensitivity for future sensing applications. We employed a UV-VIS diode laser mounted on a CNC (Computer Numerical Control) system constructed by our team to engrave on polyimide sheets. Our results demonstrated that low and high-power settings led to poor electrode performance due to increased resistivity and structural damage. Conversely, electrodes fabricated at power settings between 60 % (3W) and 80 % (4W) of the laser’s maximum capacity, combined with maximum operable speed, exhibited uniform morphology, high conductivity, and reversible electrochemical behavior. Under these conditions, the resulting LIG-based electrodes featured porous graphene on networks with directional asymmetry, with an ID/IG ratio of approximately 1.3, a sheet resistance of 20 Ω/sq, and a peak current of 272.1 uA, alongside an Ipa/Ipc ratio near 1 in cyclic voltammetry measurements, providing a foundation for the development of efficient LIG-based sensors.

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Publication Details

Journal
Universitas Scientiarum
Published
2025-06-06
DOI
https://doi.org/10.11144/javeriana.sc30.ulpe
Citations
1
Primary Topic
Laser-Ablation Synthesis of Nanoparticles
Type
article
Field-Weighted Citation Impact
0.67
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article

UV-VIS laser parameter effects on the physicochemical properties of Laser-Induced Graphene

Jhonattan de la Roche, Sergio Licon Mendoza, Santiago Ospina-Arroyave, Santiago Lasso Patiño et al.
1 citations
Universitas Scientiarum
Laser-Ablation Synthesis of Nanoparticles
0.67
article

UV-VIS laser parameter effects on the physicochemical properties of Laser-Induced Graphene

Jhonattan de la Roche, Sergio Licon Mendoza, Santiago Ospina-Arroyave, Santiago Lasso Patiño, Carlos Alberto Lubo Mestanza, Laura Tenjo Patiño, Lucero Alvarez Miño
article en
1 citations

Abstract

Laser-induced graphene (LIG) is a versatile and scalable technique for the low-cost production of graphene-like sensing devices. However, the performance of these devices is hypersensitive to the engraving parameters used during fabrication. In this work, we systematically varied laser engraving speed and power to explore their influence on the physical and electrochemical properties of LIG electrodes to achieve low resistance, high LIG porosity, and enhanced sensitivity for future sensing applications. We employed a UV-VIS diode laser mounted on a CNC (Computer Numerical Control) system constructed by our team to engrave on polyimide sheets. Our results demonstrated that low and high-power settings led to poor electrode performance due to increased resistivity and structural damage. Conversely, electrodes fabricated at power settings between 60 % (3W) and 80 % (4W) of the laser’s maximum capacity, combined with maximum operable speed, exhibited uniform morphology, high conductivity, and reversible electrochemical behavior. Under these conditions, the resulting LIG-based electrodes featured porous graphene on networks with directional asymmetry, with an ID/IG ratio of approximately 1.3, a sheet resistance of 20 Ω/sq, and a peak current of 272.1 uA, alongside an Ipa/Ipc ratio near 1 in cyclic voltammetry measurements, providing a foundation for the development of efficient LIG-based sensors.

Universitas Scientiarum
University of Caldas (CO), Universidad Nacional de Colombia (CO)
Openalex Percentile: Top 31%
Laser-Ablation Synthesis of Nanoparticles
0.67
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UV-VIS laser parameter effects on the physicochemical properties of Laser-Induced Graphene — Jhonattan de la Roche, Sergio Licon Mendoza, et al. · Universitas Scientiarum (2025) | TGRS Research Map | TGRS