Evidence map›Paper›PMID 34075741›Full record

ArticleACS applied materials & interfaces2021

Inkjet-Deposited Single-Wall Carbon Nanotube Micropatterns on Stretchable PDMS-Ag Substrate-Electrode Structures for Piezoresistive Strain Sensing.

Henri Ervasti, Topias Järvinen, Olli Pitkänen, Éva Bozó, Johanna Hiitola-Keinänen, Olli-Heikki Huttunen, Jussi Hiltunen, Krisztian Kordas

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
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.

Henri ErvastiMicroelectronics Research Unit, University of Oulu, Erkki Koiso-Kanttilan Katu 3, FIN-90570 Oulu, Finland.
Topias JärvinenMicroelectronics Research Unit, University of Oulu, Erkki Koiso-Kanttilan Katu 3, FIN-90570 Oulu, Finland.
Olli PitkänenMicroelectronics Research Unit, University of Oulu, Erkki Koiso-Kanttilan Katu 3, FIN-90570 Oulu, Finland.ORCID https://orcid.org/0000-0003-2870-3229
Éva BozóMicroelectronics Research Unit, University of Oulu, Erkki Koiso-Kanttilan Katu 3, FIN-90570 Oulu, Finland.
Johanna Hiitola-KeinänenVTT Technical Research Centre of Finland, Kaitoväylä 1, FIN-90590 Oulu, Finland.
Olli-Heikki HuttunenVTT Technical Research Centre of Finland, Kaitoväylä 1, FIN-90590 Oulu, Finland.ORCID https://orcid.org/0000-0002-3457-9183
Jussi HiltunenVTT Technical Research Centre of Finland, Kaitoväylä 1, FIN-90590 Oulu, Finland.
Krisztian KordasMicroelectronics Research Unit, University of Oulu, Erkki Koiso-Kanttilan Katu 3, FIN-90570 Oulu, Finland.ORCID https://orcid.org/0000-0002-7331-1278

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Printed piezoresistive strain sensors based on stretchable roll-to-roll screen-printed silver electrodes on polydimethylsiloxane substrates and inkjet-deposited single-wall carbon nanotube micropatterns are demonstrated in this work. With the optimization of surface wetting and inkjet printing parameters, well-defined microscopic line patterns of the nanotubes with a sheet resistance of <100 Ω/□ could be deposited between stretchable Ag electrodes on the plasma-treated substrate. The developed stretchable devices are highly sensitive to tensile strain with a gauge factor of up to 400 and a pressure sensitivity of ∼0.09 Pa

Indexed as

piezoresistive sensingpressure, and bending sensorsprinted electronicsstrainstretchable materials and devices

Identifiers

PMID34075741
PMCPMC8289179

What OpenQuestion holds

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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.