Evidence map›Paper›PMID 42326863›Full record

ArticleACS measurement science au2026

Fully 3D-Printed Sampling-to-Detection Electrochemical Platform for Point-of-Care Measurement of Salivary Uric Acid.

Ada Raucci, Wanda Cimmino, Cosimo Manna, Panagiota M Kalligosfyri, Gennaro Persico, Michele Spinelli, Angela Amoresano, Waleed Alahmad, Stefano Cinti

Abstract read
In one paragraph

Article in ACS measurement science au, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ada RaucciDepartment of Pharmacy, University of Naples Federico II, Via D. Montesano 49, Naples 80131, Italy.
Wanda CimminoDepartment of Pharmacy, University of Naples Federico II, Via D. Montesano 49, Naples 80131, Italy.
Cosimo MannaDepartment of Pharmacy, University of Naples Federico II, Via D. Montesano 49, Naples 80131, Italy.
Panagiota M KalligosfyriDepartment of Pharmacy, University of Naples Federico II, Via D. Montesano 49, Naples 80131, Italy.ORCID https://orcid.org/0000-0002-8287-059X
Gennaro PersicoDepartment of Pharmacy, University of Naples Federico II, Via D. Montesano 49, Naples 80131, Italy.
Michele SpinelliDepartment of Chemical Sciences, University of Naples Federico II, Naples 80126, Italy.
Angela AmoresanoDepartment of Chemical Sciences, University of Naples Federico II, Naples 80126, Italy.
Waleed AlahmadDepartment of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.ORCID https://orcid.org/0000-0003-1379-8755
Stefano CintiDepartment of Pharmacy, University of Naples Federico II, Via D. Montesano 49, Naples 80131, Italy.ORCID https://orcid.org/0000-0002-8274-7452

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

3D-printingadditive manufacturingelectrochemical biosensorpoint-of-care testingsalivauric acid

Identifiers

PMID42326863
PMCPMC13281170

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.