Evidence map›Paper›PMID 32533266›Full record

ArticleMikrochimica acta2020

Au@Ag core-shell nanoparticles for microRNA-21 determination based on duplex-specific nuclease signal amplification and surface-enhanced Raman scattering.

Wei Xu, Aiwu Zhao, Fangtao Zuo, Ranjha Khan, Hafiz Muhammad Jafar Hussain, Jianguo Chang

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 32 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Wei XuInstitute of Intelligent Machines, Chinese Academy of Sciences, Hefei, 230031, People's Republic of China.
Aiwu ZhaoInstitute of Intelligent Machines, Chinese Academy of Sciences, Hefei, 230031, People's Republic of China. awzhao@iim.ac.cn.ORCID 0000-0001-6901-0512
Fangtao ZuoInstitute of Intelligent Machines, Chinese Academy of Sciences, Hefei, 230031, People's Republic of China.
Ranjha KhanSchool of Life Sciences, University of Science and Technology of China, Hefei, 230027, People's Republic of China.
Hafiz Muhammad Jafar HussainSchool of Life Sciences, University of Science and Technology of China, Hefei, 230027, People's Republic of China.
Jianguo ChangInstitute of Intelligent Machines, Chinese Academy of Sciences, Hefei, 230031, People's Republic of China.
University of Science and Technology of China · CN

Funding

Hefei Institutes of Physical Science, Chinese Academy of Sciences No. 2018ZYFX005National Natural Science Foundation of China No. 61875255
6 · The paper itself

Abstract

A novel surface-enhanced Raman scattering (SERS) analysis strategy has been designed combining Au@DTNB@Ag core-shell nanoparticles (DTNB attachment on gold nanoparticles, then encapsulated in Ag shell nanoparticles named as ADANPs) and duplex-specific nuclease signal amplification (DSNSA) platform. Firstly, ADANPs and magnetic substrate of Fe

Indexed as

Base SequenceCell Line, TumorDithionitrobenzoic AcidDNAEndonucleasesGoldHumansImmobilized Nucleic AcidsLimit of DetectionMagnetite NanoparticlesMicroRNAsNucleic Acid HybridizationReproducibility of ResultsSensitivity and SpecificitySilverSpectrum Analysis, RamanDithionitrobenzoic AcidDNAEndonucleasesGoldImmobilized Nucleic AcidsMagnetite NanoparticlesMicroRNAsMIRN21 microRNA, humanSilverAu@DTNB@Ag core-shell nanoparticlesDuplex-specific nucleaseHuman serummiRNA-21Surface-enhanced Raman scattering

Identifiers

PMID32533266
OpenAlexW3034532166

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.