Evidence map›Paper›PMID 42133358›Full record

ArticleAngewandte Chemie (International ed. in English)2026

Dual-Channel Interdigitated Aptamer-Based Sensors for Rapid Small-Molecule Detection in Biofluids.

Senyao Wang, Ali Elmorsy, Defne Tüzün, Lilly Schmidt, Sebastian Freko, Lukas Hiendlmeier, Chen Wang, Alonso Ingar Romero, George Al Boustani, Hu Peng and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Angewandte Chemie (International ed. in English), 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

13 authors.

Senyao WangNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.ORCID 0000-0002-8139-558X
Ali ElmorsyLaboratory of Chemical Nanotechnology (CHEMINA), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.ORCID 0000-0001-8554-0505
Defne TüzünNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.ORCID 0009-0004-7295-9648
Lilly SchmidtNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.
Sebastian FrekoNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.ORCID 0009-0008-0834-8227
Lukas HiendlmeierNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.ORCID 0000-0003-0219-6871
Chen WangMicrorobotic Bioengineering Lab, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.ORCID 0000-0003-4554-6819
Alonso Ingar RomeroNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.ORCID 0009-0001-0902-3343
George Al BoustaniNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.
Hu PengNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.
Berna ÖzkaleMicrorobotic Bioengineering Lab, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.ORCID 0000-0002-3016-9363
Nako NakatsukaLaboratory of Chemical Nanotechnology (CHEMINA), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.ORCID 0000-0001-8248-5248
Bernhard WolfrumNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.ORCID 0000-0003-4438-3755

Funding

China Scholarship Council 202208410130EuroTech Universities Alliance Joint Supervision ProgramSandoz Family FoundationSwiss National Science Foundation (SNSF) APTANEX,10005072
6 · The paper itself

Abstract

Timely and decentralized quantification of small-molecule biomarkers is essential for point-of-care (POC) diagnostics, but their reliable detection in biofluids remains challenging. Here, we introduce an engineered electrochemical aptamer sensing platform that employs a dual-channel signal conversion strategy to overcome these limitations. By integrating spatially separated interdigitated working electrodes with selective self-assembled monolayer (SAM) removal, the system enables target-induced release and recapture of methylene blue-labeled complementary DNA (MB-cDNA) probes across two electrodes. This configuration minimizes background interference and enhances mass transport, facilitating robust dual-channel signal transduction. The platform enables rapid (≤ 30 min), low-volume (30 µL) detection of prototypical small molecules, dopamine and cortisol, in diverse biofluids, including artificial cerebrospinal fluid (aCSF), human serum, and saliva. Notably, the signal conversion mechanism remained effective across different targets and sample types, requiring only minimal adaptation of the recognition sequence. Together, these features establish a versatile electrochemical sensing architecture with broad potential for rapid, quantitative small-molecule analysis in complex biological media.

Indexed as

Aptamers, NucleotideBiosensing TechniquesDopamineElectrochemical TechniquesHydrocortisoneElectrodesHumansSalivaAptamers, NucleotideDopamineHydrocortisonebiofluid analysiscortisolDNA aptamerdopaminepoint‐of‐care diagnostics

Identifiers

PMID42133358
PMCPMC13327560

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.