Evidence map›Paper›PMID 42657218›Full record

ArticleSmall science2026

Polyoxometalate@Metal-Organic Framework-Based Imprinted Electrochemical Sensor for Dopamine Detection.

Wenjing Wang, Di Wang, Srivatsan K Vasantham, Hongrong Hu, Yan Liu, Andreas H Schäfer, George Mathew, Navid Hussain, Masooma Ibrahim, Jasmin Aghassi-Hagmann and 2 more

Abstract read
In one paragraph

Article in Small science, 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

12 authors.

Wenjing WangInstitute of Nanotechnology (INT) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany.
Di WangInstitute of Nanotechnology (INT) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany.ORCID https://orcid.org/0000-0001-9817-7047
Srivatsan K VasanthamInstitute of Nanotechnology (INT) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany.
Hongrong HuInstitute of Nanotechnology (INT) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany.ORCID https://orcid.org/0000-0003-3861-9848
Yan LiuInstitute of Nanotechnology (INT) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany.
Andreas H SchäfernanoAnalytics GmbH Münster Germany.
George MathewInstitute of Nanotechnology (INT) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany.
Navid HussainInstitute of Nanotechnology (INT) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany.
Masooma IbrahimInstitute of Nanotechnology (INT) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany.
Jasmin Aghassi-HagmannInstitute of Nanotechnology (INT) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany.ORCID https://orcid.org/0000-0003-0348-041X
Annie K PowellInstitute of Nanotechnology (INT) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany.ORCID https://orcid.org/0000-0003-3944-7427
Michael HirtzInstitute of Nanotechnology (INT) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany.ORCID https://orcid.org/0000-0002-2647-5317

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrochemical determination of dopamine (DA) has received considerable attention in recent years, with current research primarily focused on improving sensor sensitivity and selectivity. In this study, a printed electrochemical sensor modified with a hybrid material comprising polyoxometalates (POMs), metal-organic frameworks (MOFs), and molecularly imprinted polymers (MIPs) is fabricated for DA detection. The POM@MOF component enhances charge transfer, thereby improving sensitivity, while the MIP acts as a selective receptor for DA, providing high selectivity. The fabricated sensor exhibits selective recognition of DA from interferents with similar electrochemical behaviors using cyclic voltammetry (CV), and the CV responses are linear with DA concentration in the range 200-800 μM, with a limit of detection (LOD) of 59.03 μM. Moreover, the sensors show good stability, regeneration ability, and reproducibility. The results demonstrate that the proposed material can facilitate the electrochemical sensing performance toward DA, providing a basis for the future design and optimization of material-based electrochemical DA sensing platforms.

Indexed as

dopamineelectrochemical sensormetal–organic frameworksmolecularly imprinted polymerspolyoxometalates

Identifiers

PMID42657218
PMCPMC13517000

What OpenQuestion holds

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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.