Evidence map›Paper›PMID 30424327›Full record

ReviewMicromachines2018

3D-Printed Biosensor Arrays for Medical Diagnostics.

Mohamed Sharafeldin, Abby Jones, James F Rusling

Abstract readReview
In one paragraph

Review in Micromachines, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Review
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  11. Review
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  13. Article
  14. Surgery Training System Supported by Organic Materials.Materials (Basel, Switzerland) · 2022
    Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. 3D Tissue and Organ Printing-Hope and Reality.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    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

3 authors.

Mohamed SharafeldinDepartment of Chemistry (U-3060), University of Connecticut, 55 North Eagleville Road, Storrs, CT 06269, USA. mohamed.sharafeldin@uconn.edu.ORCID 0000-0003-0618-945X
Abby JonesDepartment of Chemistry (U-3060), University of Connecticut, 55 North Eagleville Road, Storrs, CT 06269, USA. abby.jones@uconn.edu.
James F RuslingDepartment of Chemistry (U-3060), University of Connecticut, 55 North Eagleville Road, Storrs, CT 06269, USA. james.rusling@uconn.edu.ORCID 0000-0002-6117-3306

Funding

ELECTROCATALYTIC STUDIES OF TOXIC POLLUTANT ACTIVATIONR01ES003154 · NIEHS · UNIVERSITY OF CONNECTICUT STORRS · PI RUSLING, JAMES F. · 1985 to 2018
$6.1M
National Institute of Biomedical Imaging and Bioengineering EB016707National Institute of Environmental Health Sciences ES03154University of Connecticut Academic Plan Project Grant
6 · The paper itself

Abstract

While the technology is relatively new, low-cost 3D printing has impacted many aspects of human life. 3D printers are being used as manufacturing tools for a wide variety of devices in a spectrum of applications ranging from diagnosis to implants to external prostheses. The ease of use, availability of 3D-design software and low cost has made 3D printing an accessible manufacturing and fabrication tool in many bioanalytical research laboratories. 3D printers can print materials with varying density, optical character, strength and chemical properties that provide the user with a vast array of strategic options. In this review, we focus on applications in biomedical diagnostics and how this revolutionary technique is facilitating the development of low-cost, sensitive, and often geometrically complex tools. 3D printing in the fabrication of microfluidics, supporting equipment, and optical and electronic components of diagnostic devices is presented. Emerging diagnostics systems using 3D bioprinting as a tool to incorporate living cells or biomaterials into 3D printing is also reviewed.

Indexed as

3D printingbioprintingdiagnosticselectronicsmicrofluidicsoptics

Identifiers

PMID30424327
PMCPMC6187244

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.