Evidence map›Paper›PMID 42630776›Full record

ArticleACS nanoscience Au2026

Inkjet-Printed Aqueous Graphene Suspensions on Flexible Substrates for Multimodal Wearable Continuous Health Monitoring.

Seyed Sajjad Mirbakht, Faruk Ballipinar, Burcu Arman Kuzubasoglu, Melih Can Tasdelen, Saygun Guler, Murat Kaya Yapici

Abstract read
In one paragraph

Article in ACS nanoscience Au, 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

6 authors.

Seyed Sajjad MirbakhtFaculty of Engineering and Natural Sciences, Sabanci University, 34956 Istanbul, Türkiye.
Faruk BallipinarFaculty of Engineering and Natural Sciences, Sabanci University, 34956 Istanbul, Türkiye.ORCID https://orcid.org/0000-0002-6382-159X
Burcu Arman KuzubasogluFaculty of Engineering and Natural Sciences, Sabanci University, 34956 Istanbul, Türkiye.ORCID https://orcid.org/0000-0003-4050-1240
Melih Can TasdelenFaculty of Engineering and Natural Sciences, Sabanci University, 34956 Istanbul, Türkiye.ORCID https://orcid.org/0000-0003-0813-3572
Saygun GulerFaculty of Engineering and Natural Sciences, Sabanci University, 34956 Istanbul, Türkiye.ORCID https://orcid.org/0000-0003-1649-0422
Murat Kaya YapiciFaculty of Engineering and Natural Sciences, Sabanci University, 34956 Istanbul, Türkiye.ORCID https://orcid.org/0000-0003-4328-5985

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flexible and gel-free dry electrophysiological electrodes offer excellent alternatives to the benchmark with better skin conformality and dispensing with the hydrogel electrolyte layer, where the integrity of recorded signals highly depends on the resilience of this layer. However, the implicit complex fabrication methods and resource-intensive nature of existing dry electrodes, designed for single use, necessitate additional technological innovations. This paper presents an original integration of inkjet-printing, graphene, and poly-(ethylene terephthalate) (PET) substrates to create flexible, inexpensive, and reusable dry electrodes for monitoring human physiological biopotential signals, including ECG, EEG, EOG, and EMG. The electrodes exhibited high electrical conductivity (80 Ω/□) and maintained their performance even after 100 cyclic bends. Additionally, they demonstrated robust signal collection even 90 days postfabrication, with reusability and strong graphene-substrate bonding verified through Scotch tape experiments. Assessing against gel-based commercial electrodes, a 99.34% correlation ratio was obtained from the recorded ECG signals. Similarly, a correlation ratio of 95.14 ± 4.75% was achieved with 10 diverse participants. The capability of these electrodes to effectively record neural signals in practical applications was demonstrated in real-time detection of sleep and drowsiness in car drivers. These findings highlight the potential of inkjet-printed graphene electrodes in advancing wearable health monitoring technologies.

Indexed as

biopotential monitoringfunctional inksneural signalsprinted electronicsprinting process optimization

Identifiers

PMID42630776
PMCPMC13495504

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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.