Evidence map›Paper›PMID 36403048›Full record

ArticleJournal of nanobiotechnology2022

Filtration-processed biomass nanofiber electrodes for flexible bioelectronics.

Daiki Ando, Tetsuhiko F Teshima, Francisco Zurita, Hu Peng, Kota Ogura, Kenji Kondo, Lennart Weiß, Ayumi Hirano-Iwata, Markus Becherer, Joe Alexander and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of nanobiotechnology, 2022. 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
1.3field-weighted citation impact, top 22% of its field
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, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  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

11 authors at 2 institutions in 2 countries.

Daiki Ando *Neuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Hans-Piloty-Str. 1, 85748, Garching, Germany.
Tetsuhiko F Teshima *Neuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Hans-Piloty-Str. 1, 85748, Garching, Germany.
Francisco ZuritaNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Hans-Piloty-Str. 1, 85748, Garching, Germany.
Hu PengNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Hans-Piloty-Str. 1, 85748, Garching, Germany.
Kota OguraNew Development Department, Corporate Planning Division, Sugino Machine Limited, 2880 Kuriyama, Namerikawa, Toyama, 936-8577, Japan.
Kenji KondoNew Development Department, Corporate Planning Division, Sugino Machine Limited, 2880 Kuriyama, Namerikawa, Toyama, 936-8577, Japan.
Lennart WeißNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Hans-Piloty-Str. 1, 85748, Garching, Germany.
Ayumi Hirano-IwataGraduate School of Engineering, Tohoku University, 6-6 Aoba, Aramaki, Aoba-Ku, Sendai, Miyagi, 980-8579, Japan.
Markus BechererNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Hans-Piloty-Str. 1, 85748, Garching, Germany.
Joe AlexanderMedical & Health Informatics Laboratories, NTT Research Incorporated, 940 Stewart Drive, Sunnyvale, CA, 94085, USA.
Bernhard WolfrumNeuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Hans-Piloty-Str. 1, 85748, Garching, Germany. bernhard.wolfrum@tum.de.
Technical University of Munich · DETohoku University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increasing demand for bioelectronics that interface with living systems has driven the development of materials to resolve mismatches between electronic devices and biological tissues. So far, a variety of different polymers have been used as substrates for bioelectronics. Especially, biopolymers have been investigated as next-generation materials for bioelectronics because they possess interesting characteristics such as high biocompatibility, biodegradability, and sustainability. However, their range of applications has been restricted due to the limited compatibility of classical fabrication methods with such biopolymers. Here, we introduce a fabrication process for thin and large-area films of chitosan nanofibers (CSNFs) integrated with conductive materials. To this end, we pattern carbon nanotubes (CNTs), silver nanowires, and poly (3,4-ethylenedioxythiophene):poly (styrenesulfonate) (PEDOT:PSS) by a facile filtration process that uses polyimide masks fabricated via laser ablation. This method yields feedlines of conductive material on nanofiber paper and demonstrates compatibility with conjugated and high-aspect-ratio materials. Furthermore, we fabricate a CNT neural interface electrode by taking advantage of this fabrication process and demonstrate peripheral nerve stimulation to the rapid extensor nerve of a live locust. The presented method might pave the way for future bioelectronic devices based on biopolymer nanofibers.

Indexed as

NanofibersNanotubes, CarbonNanowiresBiomassElectrodesPolystyrenesSilverNanotubes, CarbonPolystyrenespolystyrene sulfonic acidSilverBioelectronicsBiopolymersHigh-aspect-ratio materialsImplantable ElectrodesMembrane filtration

Identifiers

PMID36403048
PMCPMC9675094
OpenAlexW4309387918

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.