Evidence map›Paper›PMID 34903662›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Multiplexed sensing of biomolecules with optically detected magnetic resonance of nitrogen-vacancy centers in diamond.

Metin Kayci, Jilin Fan, Onur Bakirman, Andreas Herrmann

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 1 institution in 1 country.

Metin KayciDWI Leibniz Institute for Interactive Materials, Aachen 52056, Germany; kayci@dwi.rwth-aachen.de herrmann@dwi.rwth-aachen.de.
Jilin FanDWI Leibniz Institute for Interactive Materials, Aachen 52056, Germany.ORCID 0000-0002-9498-0366
Onur BakirmanDWI Leibniz Institute for Interactive Materials, Aachen 52056, Germany.ORCID 0000-0003-4490-0839
Andreas HerrmannDWI Leibniz Institute for Interactive Materials, Aachen 52056, Germany; kayci@dwi.rwth-aachen.de herrmann@dwi.rwth-aachen.de.ORCID 0000-0002-8886-0894
DWI – Leibniz Institute for Interactive Materials · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past decade, a great effort has been devoted to develop new biosensor platforms for the detection of a wide range of analytes. Among the various approaches, magneto-DNA assay platforms have received extended interest for high sensitive and specific detection of targets with a simultaneous manipulation capacity. Here, using nitrogen-vacancy quantum centers in diamond as transducers for magnetic nanotags (MNTs), a hydrogel-based, multiplexed magneto-DNA assay is presented. Near-background-free sensing with diamond-based imaging combined with noninvasive control of chemically robust nanotags renders it a promising platform for applications in medical diagnostics, life science, and pharmaceutical drug research. To demonstrate its potential for practical applications, we employed the sensor platform in the sandwich DNA hybridization process and achieved a limit of detection in the attomolar range with single-base mismatch differentiation.

Indexed as

Biosensing TechniquesDiamondDNAMagnetic Resonance SpectroscopyNanoparticlesNanotechnologyNitrogenDiamondDNANitrogenDNA hybridizationhydrogelsmagnetic nanoparticlesmagneto-DNA assayNV centers

Identifiers

PMID34903662
PMCPMC8713764
OpenAlexW4200208087

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.