Evidence map›Paper›PMID 41755145›Full record

ReviewSensors (Basel, Switzerland)2026

Energy-Biosensor Synergy: Intrinsic Catalytic Reactions as Label-Free Signal Pathways.

Seyyed Mehdi Khoshfetrat, Samaneh Mirsian, Amirreza Khodadadian, Wolfgang Hilber, Clemens Heitzinger

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 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. Review
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

5 authors.

Seyyed Mehdi KhoshfetratDepartment of Chemistry, Faculty of Basic Sciences, Ayatollah Boroujerdi University, Boroujerd 69199-69737, Iran.ORCID 0000-0002-2625-7299
Samaneh MirsianInstitute of Microelectronics and Microsensors, Johannes Kepler University Linz, 4040 Linz, Austria.ORCID 0000-0002-0151-6784
Amirreza KhodadadianSchool of Computer Science and Mathematics, Keele University, Staffordshire ST5 5BG, UK.ORCID 0000-0003-2374-0557
Wolfgang HilberInstitute of Microelectronics and Microsensors, Johannes Kepler University Linz, 4040 Linz, Austria.ORCID 0000-0001-8191-3861
Clemens HeitzingerMachine Learning Unit, TU Wien, 1040 Vienna, Austria.

Funding

FWF Austrian Science Fund P-36520Iran National Science Foundation 4044278
6 · The paper itself

Abstract

The selection of appropriate signal labels is a central consideration in electrochemical biosensing as it directly determines the achievable detection limits, dynamic range, and overall analytical performance. Conventional electroactive labels require low operating potentials, fast electron-transfer kinetics, and reliable attachment to electrode surfaces or recognition elements. Despite their extensive use, these labels present notable challenges for point-of-care applications, particularly in the detection of small molecules where target binding does not inherently generate a measurable electrochemical output. As a result, most sensing architectures depend on externally added redox reporters, introduced either freely into solution or covalently linked to recognition structures, which increases assay complexity and limits scalability. These limitations have motivated the transition toward energy-based electrochemical signal pathways, such as the hydrogen evolution reaction (HER), oxygen reduction reaction (ORR), and water-splitting reactions. These reactions provide intrinsic electrochemical outputs that eliminate the need for synthetic redox mediators and can operate as built-in catalytic signal sources. Their integration into biosensing platforms simplifies assay design, enhances robustness, and broadens compatibility with diverse target molecules. This review outlines the mechanistic basis connecting HER/ORR/water-splitting reactions to signal generation in biosensors and highlights material design principles that enable their use as reagentless and label-free transduction strategies. Compared with traditional electroactive labels, energy-driven approaches offer simplicity, reduced cost, faster operation, and improved suitability for commercial translation. By establishing a unified framework for energy-based electro-recording mechanisms, this review aims to promote the development of next-generation bioanalytical methods that operate without electroactive labels and expand the applicability of electrochemical biosensing across various domains.

Indexed as

Biosensing TechniquesElectrochemical TechniquesCatalysisOxidation-ReductionOxygenSignal TransductionOxygenbiosensorhydrogen evolution reactionoxygen reduction reactionreagentlessredox labelwater splitting

Identifiers

PMID41755145
PMCPMC12944496

What OpenQuestion holds

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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.