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3D-Printed Electrochemical Sensors: A Comprehensive Review of Clinical Analysis Applications

Three-dimensional printing technology has emerged as a versatile and cost-effective alternative for the fabrication of electrochemical sensors. To enhance sensor sensitivity and biocompatibility, a diverse range of biocompatible and conductive materials can be employed in these devices. This allows...

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Bibliographic Details
Published in:Analytica 2024-12, Vol.5 (4), p.552-575
Main Authors: Cândido, Thaís Cristina de Oliveira, Silva, Daniela Nunes da, Borges, Marcella Matos Cordeiro, Barbosa, Thiago Gabry, Trindade, Scarlat Ohanna Dávila da, Pereira, Arnaldo César
Format: Article
Language:English
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Summary:Three-dimensional printing technology has emerged as a versatile and cost-effective alternative for the fabrication of electrochemical sensors. To enhance sensor sensitivity and biocompatibility, a diverse range of biocompatible and conductive materials can be employed in these devices. This allows these sensors to be modified to detect a wide range of analytes in various fields. 3D-printed electrochemical sensors have the potential to play a pivotal role in personalized medicine by enabling the real-time monitoring of metabolite and biomarker levels. These data can be used to personalize treatment strategies and optimize patient outcomes. The portability and low-cost nature of 3D-printed electrochemical sensors make them suitable for point-of-care (POC) diagnostics. These tests enable rapid and decentralized analyses, aiding in diagnosis and treatment decisions in resource-limited settings. Among the techniques widely reported in the literature for 3D printing, the fused deposition modeling (FDM) technique is the most commonly used for the development of electrochemical devices due to the easy accessibility of equipment and materials. Focusing on the FDM technique, this review explores the critical factors influencing the fabrication of electrochemical sensors and discusses potential applications in clinical analysis, while acknowledging the challenges that need to be overcome for its effective adoption.
ISSN:2673-4532
2673-4532
DOI:10.3390/analytica5040037