Evidence map›Paper›PMID 37094114›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Electrical current modulation in wood electrochemical transistor.

Van Chinh Tran, Gabriella G Mastantuoni, Marzieh Zabihipour, Lengwan Li, Lars Berglund, Magnus Berggren, Qi Zhou, Isak Engquist

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

8 authors.

Van Chinh TranLaboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping 60174, Sweden.ORCID 0000-0003-0122-4914
Gabriella G MastantuoniDivision of Glycoscience, Department of Chemistry, Royal Institute of Technology, AlbaNova University Centre, Stockholm 106 91, Sweden.
Marzieh ZabihipourLaboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping 60174, Sweden.
Lengwan LiWallenberg Wood Science Center, Department of Fiber and Polymer Technology, Royal Institute of Technology, Stockholm 100 44, Sweden.ORCID 0000-0003-2168-4504
Lars BerglundWallenberg Wood Science Center, Department of Fiber and Polymer Technology, Royal Institute of Technology, Stockholm 100 44, Sweden.
Magnus BerggrenLaboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping 60174, Sweden.
Qi ZhouDivision of Glycoscience, Department of Chemistry, Royal Institute of Technology, AlbaNova University Centre, Stockholm 106 91, Sweden.ORCID 0000-0001-9832-027X
Isak EngquistLaboratory of Organic Electronics, Department of Science and Technology, Linköping University, Norrköping 60174, Sweden.

Funding

Karl-Erik Onnesjo Foundation No numberWallenberg Wood Science Center (WWSC) No number
6 · The paper itself

Abstract

The nature of mass transport in plants has recently inspired the development of low-cost and sustainable wood-based electronics. Herein, we report a wood electrochemical transistor (WECT) where all three electrodes are fully made of conductive wood (CW). The CW is prepared using a two-step strategy of wood delignification followed by wood amalgamation with a mixed electron-ion conducting polymer, poly(3,4-ethylenedioxythiophene)-polystyrene sulfonate (PEDOT:PSS). The modified wood has an electrical conductivity of up to 69 Sm

Indexed as

conductivityelectrochemistryPEDOT:PSStransistorwood

Identifiers

PMID37094114
PMCPMC10160952

What OpenQuestion holds

Textmetadata
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.