Abstract
This Review provides a comprehensive overview of 3D printing techniques to fabricate implantable microelectrodes for the electrochemical detection of biomarkers in the early diagnosis of cardiovascular and neurodegenerative diseases. Early diagnosis of these diseases is crucial to improving patient outcomes and reducing healthcare systems' burden. Biomarkers serve as measurable indicators of these diseases, and implantable microelectrodes offer a promising tool for their electrochemical detection. Here, we discuss various 3D printing techniques, including stereolithography (SLA), digital light processing (DLP), fused deposition modeling (FDM), selective laser sintering (SLS), and two-photon polymerization (2PP), highlighting their advantages and limitations in microelectrode fabrication. We also explore the materials used in constructing implantable microelectrodes, emphasizing their biocompatibility and biodegradation properties. The principles of electrochemical detection and the types of sensors utilized are examined, with a focus on their applications in detecting biomarkers for cardiovascular and neurodegenerative diseases. Finally, we address the current challenges and future perspectives in the field of 3D-printed implantable microelectrodes, emphasizing their potential for improving early diagnosis and personalized treatment strategies.
| Original language | English |
|---|---|
| Pages (from-to) | 315-336 |
| Number of pages | 22 |
| Journal | ACS Measurement Science Au |
| Volume | 3 |
| Issue number | 5 |
| DOIs | |
| State | Published - 18 Oct 2023 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- 3D printing
- Biomarkers
- Cardiovascular and neurodegenerative diseases
- Early diagnosis
- Electrochemical detection
- Implantable microelectrodes
- Personalized treatment
- Stereolithography
ASJC Scopus subject areas
- Analytical Chemistry
- Spectroscopy
- Electrochemistry
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