Evidence map›Paper›PMID 42807599›Full record

ArticleSmall science2026

Selective and Fast Cortisol Sensing in Human Saliva Using Graphene-Based On-Chip Field-Effect Transistors.

Bajramshahe Shkodra, Ksenija Arslanova, Eva Fellinger, Tanja Stimpel-Lindner, Sebastian Klenk, Sebastian Hauk, Kathrin C Knirsch, Andreas Hirsch, Kristiina Iljin, Tarja K Nevanen 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.

Bajramshahe ShkodraInstitute of Physics & Research Center SENS Faculty of Electric Power Systems and Information Technology University of the Bundeswehr Munich Neubiberg Germany.ORCID https://orcid.org/0000-0002-2414-8590
Ksenija ArslanovaInstitute of Physics & Research Center SENS Faculty of Electric Power Systems and Information Technology University of the Bundeswehr Munich Neubiberg Germany.ORCID https://orcid.org/0009-0000-4786-2407
Eva FellingerInstitute for Sports Science Faculty of Human Sciences University of the Bundeswehr Munich Neubiberg Germany.ORCID https://orcid.org/0009-0004-9375-0288
Tanja Stimpel-LindnerInstitute of Physics & Research Center SENS Faculty of Electric Power Systems and Information Technology University of the Bundeswehr Munich Neubiberg Germany.
Sebastian KlenkInstitute of Physics & Research Center SENS Faculty of Electric Power Systems and Information Technology University of the Bundeswehr Munich Neubiberg Germany.ORCID https://orcid.org/0000-0001-9548-4105
Sebastian HaukDepartment of Chemistry and Pharmacy Friedrich-Alexander University of Erlangen-Nuremberg (FAU) Erlangen Germany.ORCID https://orcid.org/0009-0003-0596-5485
Kathrin C KnirschDepartment of Chemistry and Pharmacy Friedrich-Alexander University of Erlangen-Nuremberg (FAU) Erlangen Germany.
Andreas HirschDepartment of Chemistry and Pharmacy Friedrich-Alexander University of Erlangen-Nuremberg (FAU) Erlangen Germany.ORCID https://orcid.org/0000-0003-1458-8872
Kristiina IljinVTT Technical Research Centre of Finland Espoo Finland.ORCID https://orcid.org/0000-0002-5161-0584
Tarja K NevanenVTT Technical Research Centre of Finland Espoo Finland.
Annette SchmidtInstitute for Sports Science Faculty of Human Sciences University of the Bundeswehr Munich Neubiberg Germany.ORCID https://orcid.org/0000-0002-2315-6417
Georg S DuesbergInstitute of Physics & Research Center SENS Faculty of Electric Power Systems and Information Technology University of the Bundeswehr Munich Neubiberg Germany.ORCID https://orcid.org/0000-0002-7412-700X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring of biomarkers in body fluids is highly sought after for medical diagnostics and tracking health conditions. Conventional analytical methods require centralized facilities and complex protocols, limiting applicability for real-time or point-of-care use. In recent years, graphene-based transducers have shown high potential for miniaturized biosensing, however they have so far been hardly tested in real-case scenarios. In this work, electrolyte-gated graphene field-effect transistors (EG-GFETs) are developed for the detection of the primary stress hormone cortisol in human saliva. The sensor consists of chemical vapor deposition (CVD)-grown graphene functionalized with perylene bisimide (PBI) linkers for immobilizing anticortisol (17) Fab fragments. Cortisol is detected over a dynamic range from 100 fM to 1 μM, covering physiologically relevant concentration ranges. The measurements show high correlation with enzyme-linked immunosorbent assay (ELISA) tests performed in parallel on the same samples. The immediate, label-free sensing of biomarkers in human saliva represents a major advance in miniaturized biosensing and can potentially be extended to further analytes and integrated portable monitoring units.

Indexed as

biosensingcortisolelectrolyte‐gated FETELISAGFETimmunosensorssalivasweat

Identifiers

PMID42807599
PMCPMC13618521

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.