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Portable electrochemiluminescent detection system with 3D printed materials and mobile phone detection
Patrick J Herchenbach1, Ethan Gomez1, Dale Mee1
1Department of Chemistry and Biochemistry, Creighton University, Omaha NE 68178, USA.
Talanta Open
|January 7, 2026
Summary
3D printing enables novel electrochemiluminescent (ECL) sensors with portable housings. This study optimized ECL detection for amine-containing species using 3D printed substrates and a mobile phone detector.
Area of Science:
- Analytical Chemistry
- Materials Science
- Sensor Technology
Background:
- 3D printing offers unique advantages for creating customized laboratory equipment.
- Electrochemiluminescence (ECL) is a sensitive detection method with applications in analytical chemistry.
- Portable and accessible analytical tools are in high demand.
Purpose of the Study:
- To evaluate 3D printed plastics as substrates for electrochemiluminescent sensors.
- To develop a portable, chip-based ECL detection method for amine-containing species.
- To integrate 3D printing for sensor fabrication and housing, enhancing portability.
Main Methods:
- Fabrication of stencil-printed carbon-ink electrodes (SPCEs) on four different 3D printed plastics (three FDM, one SLA).
- Optimization of an ECL detection method using tris(2,2'-bipyridyl)ruthenium(II) and 2-(dibutylamino) ethanol (DBAE).
- Development of a portable housing using 3D printing for sensor alignment and light-tight measurements, powered by a USB supply and detected with a mobile phone.
Main Results:
- SPCEs were successfully fabricated on various 3D printed substrates.
- The optimized ECL method achieved similar limits of detection (3-4 μM) for DBAE across different substrates.
- The method demonstrated a detection limit of approximately 130 μM for the biogenic amine spermidine.
- Portability was confirmed using a mobile phone detector and USB power.
Conclusions:
- 3D printing is a viable technology for fabricating substrates and housings for ECL sensors.
- The developed method offers a portable and accessible platform for detecting amine-containing species.
- This approach holds promise for on-site and field-based analytical applications.

