Evidence map›Paper›PMID 31547138›Full record

ArticleBiosensors2019

Viability of Neural Cells on 3D Printed Graphene Bioelectronics.

Jingshuai Guo, Amir Ehsan Niaraki Asli, Kelli R Williams, Pei Lun Lai, Xinwei Wang, Reza Montazami, Nicole N Hashemi

Abstract read
In one paragraph

Article in Biosensors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

7 authors.

Jingshuai GuoDepartment of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA. jguo1@iastate.edu.
Amir Ehsan Niaraki AsliDepartment of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA. niaraki@iastate.edu.
Kelli R WilliamsDepartment of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA. kellij2@iastate.edu.
Pei Lun LaiDepartment of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA. issaclun@iastate.edu.
Xinwei WangDepartment of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA. xwang3@iastate.edu.
Reza MontazamiDepartment of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA. reza@iastate.edu.
Nicole N HashemiDepartment of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA. nastaran@iastate.edu.

Funding

Office of Naval Research N000141712620
6 · The paper itself

Abstract

Parkinson's disease (PD) is the second most common neurodegenerative disease in the United States after Alzheimer's disease (AD). To help understand the electrophysiology of these diseases, N27 neuronal cells have been used as an in vitro model. In this study, a flexible graphene-based biosensor design is presented. Biocompatible graphene was manufactured using a liquid-phase exfoliation method and bovine serum albumin (BSA) for further exfoliation. Raman spectroscopy results indicated that the graphene produced was indeed few-layer graphene (FLG) with ID/IGGraphene= 0.11. Inkjet printing of this few-layer graphene ink onto Kapton polyimide (PI) followed by characterization via scanning electron microscopy (SEM) showed an average width of ≈868 µm with a normal thickness of ≈5.20 µm. Neuronal cells were placed on a thermally annealed 3D printed graphene chip. A live-dead cell assay was performed to prove the biosensor biocompatibility. A cell viability of approximately 80% was observed over 96 h, which indicates that annealed graphene on Kapton PI substrate could be used as a neuronal cell biosensor. This research will help us move forward with the study of N27 cell electrophysiology and electrical signaling.

Indexed as

Biosensing TechniquesAnimalsCell LineElectric ConductivityGraphiteMaterials TestingNeurodegenerative DiseasesNeuronsPrinting, Three-DimensionalProof of Concept StudyRatsSpectrum Analysis, RamanGraphitebiosensorelectrical conductivitymechanically exfoliated grapheneneuronal cellsParkinson’s Disease

Identifiers

PMID31547138
PMCPMC6955934

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.