Evidence map›Paper›PMID 33025955›Full record

ArticleThe Analyst2021

Graphene/gold nanoparticle composites for ultrasensitive and versatile biomarker assay using single-particle inductively-coupled plasma/mass spectrometry.

Yuqian Xing, Juan Han, Xu Wu, David T Pierce, Julia Xiaojun Zhao

Open access · greenAbstract read
In one paragraph

Article in The Analyst, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

5 authors at 1 institution in 1 country.

Yuqian XingDepartment of Chemistry, University of North Dakota, Grand Forks, North Dakota 58202, USA. julia.zhao@und.edu david.pierce@und.edu.
Juan Han
Xu Wu
David T Pierce
Julia Xiaojun Zhao
University of North Dakota · US

Funding

Research CoresP20GM103442 · NIGMS · UNIVERSITY OF NORTH DAKOTA · PI Chris Jurgens · 2012 to 2026
$53.0M
Yersina perstis interactions with macrophagesP20GM113123 · NIGMS · UNIVERSITY OF NORTH DAKOTA · PI BRADLEY, DAVID S. · 2016 to 2025
$19.9M
NIGMS NIH HHS P20 GM103442NIGMS NIH HHS P20 GM113123
6 · The paper itself

Abstract

An ultrasensitive and versatile assay for biomarkers has been developed using graphene/gold nanoparticles (AuNPs) composites and single-particle inductively-coupled plasma/mass spectrometry (spICP-MS). Thrombin was chosen as a model biomarker for this study. AuNPs modified with thrombin aptamers were first non-selectively adsorbed onto the surface of graphene oxide (GO) to form GO/AuNPs composites. In the presence of thrombin, the AuNPs desorbed from the GO/AuNPs composites due to a conformation change of the thrombin aptamer after binding with thrombin. The desorbed AuNPs were proportional to the concentration of thrombin and could be quantified by spICP-MS. By counting the individual AuNPs in the spICP-MS measurement, the concentration of thrombin could be determined. This assay achieved an ultralow detection limit of 4.5 fM with a broad linear range from 10 fM to 100 pM. The method also showed excellent selectivity and reproducibility when a complex protein matrix was evaluated. Furthermore, the diversity and ready availability of ssDNA ligands make this method a versatile new technique for ultrasensitive detection of a wide variety of biomarkers in clinical diagnostics.

Indexed as

Aptamers, NucleotideBiosensing TechniquesGraphiteMetal NanoparticlesBiomarkersGoldMass SpectrometryReproducibility of ResultsThrombinAptamers, NucleotideBiomarkersGoldGraphiteThrombin

Identifiers

PMID33025955
PMCPMC8932399
OpenAlexW3092527233

What OpenQuestion holds

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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.