Evidence map›Paper›PMID 41805084›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Digital Microneedles for Multiplexed Transdermal Sensing via Fluorescent QR Codes.

Farbod Abazar, Shahrokh Vahabi, Elena Bellotti, Martina Corsi, Irene Nocera, Paola Orlandi, Guido Bocci, Giuseppe Barillaro

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Farbod AbazarInformation Engineering Department, University of Pisa, Pisa, Italy.ORCID https://orcid.org/0000-0003-2241-5517
Shahrokh VahabiInformation Engineering Department, University of Pisa, Pisa, Italy.
Elena BellottiInformation Engineering Department, University of Pisa, Pisa, Italy.ORCID https://orcid.org/0000-0002-4291-6530
Martina CorsiInformation Engineering Department, University of Pisa, Pisa, Italy.ORCID https://orcid.org/0000-0001-6802-3100
Irene NoceraDepartment of Veterinary Sciences, University of Pisa, Pisa, Italy.
Paola OrlandiDepartment of Clinical and Experimental Medicine, School of Medicine, University of Pisa, Pisa, Italy.
Guido BocciDepartment of Translational Research and New Technologies In Medicine and Surgery, School of Medicine, University of Pisa, Pisa, Italy.
Giuseppe BarillaroInformation Engineering Department, University of Pisa, Pisa, Italy.ORCID https://orcid.org/0000-0001-6197-4851

Funding

Horizon 2020 Framework Programme 101257530Italian Ministry of University and Research
6 · The paper itself

Abstract

Real-time biochemical sensing is essential for precision medicine, yet current wearable and transdermal biosensors suffer from signal drift, calibration demands, and limited multiplexing capabilities in vivo. Here, we introduce digital fluorescent microneedles that translate analyte concentrations into scannable QR codes via threshold-activated probes. Each microneedle functions as a fluorescent binary switch, turning "on" only above a defined analyte threshold, thereby eliminating the need for calibration and enhancing robustness against tissue heterogeneity and environmental noise. The microneedles feature a biodegradable, mechanically optimized "baby-bottle" design that enables reliable skin penetration and controlled tip detachment. Central to this concept is the rational engineering of fluorescent probes with discrete activation thresholds, which-when embedded in microneedles-produce stepwise readouts spanning physiopathological ranges of pH (4.5-8.5) and glucose (1-10 mM). By tuning probe loading, we achieve reproducible threshold activation, enabling fully digital, multiplexed detection of pH and glucose in skin with classification accuracies of 93% and 85%. This digital encoding concept is broadly extensible to diverse probes and biomarkers, providing a scalable route to calibration-free, multiplexed biosensing in vivo. The QR-based output delivers a direct, quantitative representation of biochemical information, facilitating decentralized diagnostics and integration into digital health workflows. Together, these advances establish digital microneedles as a versatile and clinically relevant platform for transdermal biosensing.

Indexed as

Biosensing TechniquesFluorescent DyesNeedlesSkinAnimalsEquipment DesignGlucoseHumansHydrogen-Ion ConcentrationMicroneedle Drug DeliveryFluorescent DyesGlucosedigital biosensingfluorescent microneedlesQR codetransdermal health monitoring

Identifiers

PMID41805084
PMCPMC13310096

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.