3D printed electrode-microwell system: a novel electrochemical platform for miRNA detection
Panagiota M Kalligosfyri1, Chloe Miller2, Stefano Cinti3,4,5
1Department of Pharmacy, University of Naples Federico II, 80131, Naples, Italy.
Mikrochimica Acta
|May 1, 2025
Summary
This study developed a 3D-printed electrochemical sensor for rapid biomarker detection. The innovative design offers high sensitivity and specificity for diagnosing diseases like lung cancer.
Area of Science:
- Electrochemistry
- Biosensing
- 3D Printing Technology
Background:
- Demand for rapid, robust electrochemical systems in diagnostics is critical for timely medical decisions.
- Emerging biomarkers associated with severe diseases require sensitive detection methods.
- Current methods face challenges in reproducibility and consistency for biomarker analysis.
Purpose of the Study:
- To develop a fully 3D-printed electrochemical sensing device with an integrated microwell.
- To create a sensitive and selective platform for microRNA detection relevant to lung cancer diagnostics.
- To leverage 3D printing for enhanced fluid control and reagent distribution in electrochemical assays.
Main Methods:
- Fabrication of a three-electrode system using conductive printing materials within a 3D-printed structure.
- Adaptation of electrochemical screen-printed sensor principles with a focus on fluidic control.
- Detection of target microRNA via hybridization with a DNA probe labeled with methylene blue (redox mediator).
Main Results:
- Achieved a dynamic detection range from 0.001 to 400 nM for the target microRNA.
- Demonstrated a lower limit of detection at the picomolar level, surpassing traditional screen-printed sensors.
- Exhibited high selectivity and specificity for the target microRNA against other sequences.
Conclusions:
- 3D printing enables the creation of advanced electrochemical sensing devices with improved performance.
- The developed sensor shows significant potential for sensitive and selective biomarker detection in diagnostics.
- This technology offers a valuable complementary approach for rapid disease diagnosis.


