Evidence map›Paper›PMID 30670783›Full record

ArticleScientific reports2019

Digital Biosensing by Foundry-Fabricated Graphene Sensors.

Brett R Goldsmith, Lauren Locascio, Yingning Gao, Mitchell Lerner, Amy Walker, Jeremy Lerner, Jayla Kyaw, Angela Shue, Savannah Afsahi, Deng Pan and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Applications of Graphene Field Effect Biosensors for Biological Sensing.Advances in biochemical engineering/biotechnology · 2024
    Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
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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

12 authors.

Brett R GoldsmithCardea Bio Inc., San Diego, CA, USA. brgoldsmith@cardeabio.com.
Lauren LocascioCardea Bio Inc., San Diego, CA, USA.
Yingning GaoCardea Bio Inc., San Diego, CA, USA.
Mitchell LernerCardea Bio Inc., San Diego, CA, USA.
Amy WalkerCardea Bio Inc., San Diego, CA, USA.
Jeremy LernerCardea Bio Inc., San Diego, CA, USA.
Jayla KyawCardea Bio Inc., San Diego, CA, USA.
Angela ShueCardea Bio Inc., San Diego, CA, USA.
Savannah AfsahiCardea Bio Inc., San Diego, CA, USA.
Deng PanCardea Bio Inc., San Diego, CA, USA.
Jolie NokesCardea Bio Inc., San Diego, CA, USA.
Francie BarronCardea Bio Inc., San Diego, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevailing philosophy in biological testing has been to focus on simple tests with easy to interpret information such as ELISA or lateral flow assays. At the same time, there has been a decades long understanding in device physics and nanotechnology that electrical approaches have the potential to drastically improve the quality, speed, and cost of biological testing provided that computational resources are available to analyze the resulting complex data. This concept can be conceived of as "the internet of biology" in the same way miniaturized electronic sensors have enabled "the internet of things." It is well established in the nanotechnology literature that techniques such as field effect biosensing are capable of rapid and flexible biological testing. Until now, access to this new technology has been limited to academic researchers focused on bioelectronic devices and their collaborators. Here we show that this capability is retained in an industrially manufactured device, opening access to this technology generally. Access to this type of production opens the door for rapid deployment of nanoelectronic sensors outside the research space. The low power and resource usage of these biosensors enables biotech engineers to gain immediate control over precise biological and environmental data.

Identifiers

PMID30670783
PMCPMC6342992

What OpenQuestion holds

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LicenceCC BY
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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.