Evidence map›Paper›PMID 24742304›Full record

ArticleNano letters2014

Scalable production of highly sensitive nanosensors based on graphene functionalized with a designed G protein-coupled receptor.

Mitchell B Lerner, Felipe Matsunaga, Gang Hee Han, Sung Ju Hong, Jin Xi, Alexander Crook, Jose Manuel Perez-Aguilar, Yung Woo Park, Jeffery G Saven, Renyu Liu and 1 more

Abstract read
In one paragraph

Article in Nano letters, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Graphene for Nanobiosensors and Nanobiochips.Advances in experimental medicine and biology · 2022
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. MoS2d materials · 2020
    Article
  20. 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.

Mitchell B LernerDepartment of Physics and Astronomy, University of Pennsylvania , Philadelphia, Pennsylvania 19104, United States.
Felipe Matsunaga
Gang Hee Han
Sung Ju Hong
Jin Xi
Alexander Crook
Jose Manuel Perez-Aguilar
Yung Woo Park
Jeffery G Saven
Renyu Liu
A T Charlie Johnson

Funding

Structural Approaches for Understanding Opioid and ??-Receptor InteractionsK08GM093115 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI LIU, RENYU · 2010 to 2013
$505k
NIGMS NIH HHS K08 GM093115NIGMS NIH HHS K08-GM-093115
6 · The paper itself

Abstract

We have developed a novel, all-electronic biosensor for opioids that consists of an engineered μ-opioid receptor protein, with high binding affinity for opioids, chemically bonded to a graphene field-effect transistor to read out ligand binding. A variant of the receptor protein that provided chemical recognition was computationally redesigned to enhance its solubility and stability in an aqueous environment. A shadow mask process was developed to fabricate arrays of hundreds of graphene transistors with average mobility of ∼1500 cm(2) V(-1) s(-1) and yield exceeding 98%. The biosensor exhibits high sensitivity and selectivity for the target naltrexone, an opioid receptor antagonist, with a detection limit of 10 pg/mL.

Indexed as

Biosensing TechniquesGraphiteHumansNaltrexoneReceptors, Opioid, muWaterGraphiteNaltrexoneReceptors, Opioid, muWater

Identifiers

PMID24742304
PMCPMC4025580

What OpenQuestion holds

Textmetadata
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.