Evidence map›Paper›PMID 42693095›Full record

ArticleNature communications2026

Decoding non-faradaic signal transduction in organic electrochemical transistor based biosensors.

Luca Salvigni, Prem Depan Nayak, Anil Koklu, Raphaela Silva, Adel Hama, Raik Grünberg, Stefan T Arold, Sahika Inal

Abstract read
In one paragraph

Article in Nature communications, 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.

Luca SalvigniOrganic Bioelectronics Laboratory, Division of Biomedical Sciences, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.ORCID http://orcid.org/0009-0002-7484-1120
Prem Depan NayakOrganic Bioelectronics Laboratory, Division of Biomedical Sciences, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Anil KokluOrganic Bioelectronics Laboratory, Division of Biomedical Sciences, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Raphaela SilvaOrganic Bioelectronics Laboratory, Division of Biomedical Sciences, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Adel HamaOrganic Bioelectronics Laboratory, Division of Biomedical Sciences, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.ORCID http://orcid.org/0000-0003-1926-181X
Raik GrünbergKAUST Center of Excellence for Smart Health, Division of Biomedical Sciences, KAUST, Thuwal, Saudi Arabia.
Stefan T AroldKAUST Center of Excellence for Smart Health, Division of Biomedical Sciences, KAUST, Thuwal, Saudi Arabia.ORCID http://orcid.org/0000-0001-5278-0668
Sahika InalOrganic Bioelectronics Laboratory, Division of Biomedical Sciences, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia. sahika.inal@kaust.edu.sa.ORCID http://orcid.org/0000-0002-1166-1512

Funding

King Abdullah University of Science and Technology (KAUST) ORA-2021-CRG10-4650, OFP2023-5522, and ORA-2023-5291.
6 · The paper itself

Abstract

Organic electrochemical transistors (OECTs) combine amplification and transduction, making them attractive for biochemical sensing. Yet, the fundamental mechanisms by which OECTs convert biochemical binding events into electrical signals remain poorly understood, limiting their optimization and broader use in biomarker detection. Here, we demonstrate how binding-induced changes in surface potential and capacitance at OECT interfaces can either translate into amplified output signals or result in destructive interaction and signal cancellation. By integrating electrochemical principles with solid-sate device physics, we establish a rational sensing model and provide design and operation rules to maximize biosensor performance. These include guidelines for operating voltage selection, optimal output signal choice, gate electrode geometry, and channel material properties (n-type versus p-type, doped versus undoped). This framework can enable the rational design of OECT-based sensors with enhanced response, lower detection limits, and improved resistance to interference, paving the way for reliable and versatile use of these devices as the enabler of next generation, high-performance biosensors.

Indexed as

Biosensing TechniquesElectrochemical TechniquesTransistors, ElectronicElectrodesEquipment DesignSignal Transduction

Identifiers

PMID42693095
PMCPMC13542089

What OpenQuestion holds

Textmetadata
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.