Fully 3D-Printed Sampling-to-Detection Electrochemical Platform for Point-of-Care Measurement of Salivary Uric Acid
This research presents an innovative all-in-one 3D-printed electrochemical biosensor for noninvasive detection of uric acid in saliva. Uric acid is a key biomarker for monitoring disorders such as gout and kidney disease as well as assessing the progression of metabolic conditions. The 3D-printed platform integrates a microwell, saliva collection module, and a three-electrode system, including carbon black and Prussian-blue-modified electrodes with immobilized uricase, into a single compact device, streamlining the sampling-to-detection workflow. Initial optimization using screen-printed electrodes on polyester films with differential pulse voltammetry established baseline performance, while the fully integrated 3D-printed system, with the incorporation of uricase, achieved detection limits of 0.09 μM in phosphate-buffered saline and 0.1 μM in 20% diluted saliva. Comparative analysis with high-performance liquid chromatography confirmed the accuracy and reliability of the measurements. By combining nanomaterial-enhanced electrodes, enzymatic recognition, and additive manufacturing, this platform offers a portable, user-friendly, and low-cost solution for point-of-care uric acid monitoring. The integrated design minimizes sample handling, prevents contamination, and enables hygienic, noninvasive collection. This approach facilitates rapid diagnostic testing and real-time health monitoring, providing actionable information for personalized patient care. Overall, the fully 3D-printed biosensing system represents a significant advance in electrochemical biosensors, demonstrating the potential to improve the clinical management of uric acid-related conditions while enabling scalable, accessible, and point-of-care diagnostics.
Authors
- Wanda Cimmino (ORCID: https://orcid.org/0009-0005-5840-5822)
- Ada Raucci (ORCID: https://orcid.org/0000-0001-7263-3593)
- Michele Spinelli (ORCID: https://orcid.org/0000-0001-8252-1587)
- Angela Amoresano (ORCID: https://orcid.org/0000-0002-8386-655X)
- Panagiota M. Kalligosfyri (ORCID: https://orcid.org/0000-0002-8287-059X)
- Stefano Cinti (ORCID: https://orcid.org/0000-0002-8274-7452)
- Waleed Alahmad
- Cosimo Manna
- Gennaro Persico (ORCID: https://orcid.org/0009-0000-9561-2648)
Institutions
- Chulalongkorn University (TH)
- Temple College (US)
- Breast Cancer Care (GB)
- Breast Center (CH)
- Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" (IT)
- University of Naples Federico II (IT)
- Temple University (US)
Publication Details
- Journal
- ACS Measurement Science Au
- Published
- 2026-03-31
- DOI
- https://doi.org/10.1021/acsmeasuresciau.6c00046
- Primary Topic
- Gout, Hyperuricemia, Uric Acid
- Type
- article
- Field-Weighted Citation Impact
- 0.00