Evidence map›Paper›PMID 34568991›Full record

ArticleMikrochimica acta2021

Electrochemiluminescence biosensor based on molybdenum disulfide-graphene quantum dots nanocomposites and DNA walker signal amplification for DNA detection.

Yina Sun, Chuan Huang, Xiujin Sun, Qian Wang, Peini Zhao, Shenguang Ge, Jinghua Yu

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 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
–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

5 citing papers in PubMed.

  1. Rapid Detection ofBiosensors · 2025
    Article
  2. Article
  3. Review
  4. Article
  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

7 authors.

Yina SunCollaborative Innovation Center of Technology, Equipment for Biological Diagnosis, Therapy in Universities of Shandong, University of Jinan, Jinan, 250022, People's Republic of China.
Chuan HuangCollaborative Innovation Center of Technology, Equipment for Biological Diagnosis, Therapy in Universities of Shandong, University of Jinan, Jinan, 250022, People's Republic of China.
Xiujin SunShandong Branch of China National Geological Exploration Center of Building Materials Industry, Jinan, 250014, People's Republic of China.
Qian WangCollaborative Innovation Center of Technology, Equipment for Biological Diagnosis, Therapy in Universities of Shandong, University of Jinan, Jinan, 250022, People's Republic of China.
Peini ZhaoSchool of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, People's Republic of China. zhaopn_1985@163.com.
Shenguang GeCollaborative Innovation Center of Technology, Equipment for Biological Diagnosis, Therapy in Universities of Shandong, University of Jinan, Jinan, 250022, People's Republic of China. chm_gesg@163.com.ORCID http://orcid.org/0000-0002-0537-6491
Jinghua YuSchool of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, People's Republic of China.

Funding

National Natural Science Foundation of China 21775055National Natural Science Foundation of China 22074053
6 · The paper itself

Abstract

Based on the prominent electrochemiluminescence (ECL) performances of molybdenum disulfide-graphene quantum dots (MoS

Indexed as

Biosensing TechniquesDisulfidesDNAElectrochemical TechniquesGraphiteLimit of DetectionLuminescent MeasurementsMolybdenumNanocompositesQuantum DotsExodeoxyribonucleasesNucleic Acid Amplification TechniquesDisulfidesDNAexodeoxyribonuclease IIIExodeoxyribonucleasesGraphiteMolybdenummolybdenum disulfideDNA walkerElectrochemiluminescence biosensorsMolybdenum disulfide-graphene quantum dotsSignal amplification

Identifiers

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.