Evidence map›Paper›PMID 29594608›Full record

ArticleMikrochimica acta2018

Electrochemiluminescence based detection of microRNA by applying an amplification strategy and Hg(II)-triggered disassembly of a metal organic frameworks functionalized with ruthenium(II)tris(bipyridine).

Yannan Jian, He Wang, Feifei Lan, Linlin Liang, Na Ren, Haiyun Liu, Shenguang Ge, Jinghua Yu

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. An ultrasensitive hairpin sensor based on g-CAnalytical and bioanalytical chemistry · 2022
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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

8 authors.

Yannan JianInstitute for Advanced Interdisciplinary Research, University of Jinan, Jinan, 250022, People's Republic of China.
He WangInstitute for Advanced Interdisciplinary Research, University of Jinan, Jinan, 250022, People's Republic of China.
Feifei LanInstitute for Advanced Interdisciplinary Research, University of Jinan, Jinan, 250022, People's Republic of China.
Linlin LiangInstitute for Advanced Interdisciplinary Research, University of Jinan, Jinan, 250022, People's Republic of China.
Na RenInstitute for Advanced Interdisciplinary Research, University of Jinan, Jinan, 250022, People's Republic of China.
Haiyun LiuInstitute for Advanced Interdisciplinary Research, University of Jinan, Jinan, 250022, People's Republic of China. chm_liuhy@yjn.edu.cn.
Shenguang GeInstitute for Advanced Interdisciplinary Research, University of Jinan, Jinan, 250022, People's Republic of China. chm_gesg@163.com.
Jinghua YuInstitute for Advanced Interdisciplinary Research, University of Jinan, Jinan, 250022, People's Republic of China.

Funding

111 Project of International Corporation on Advanced Cement-based Materials No. D17001National Natural Science Foundation of China 21575051, 21775055, 21501090
6 · The paper itself

Abstract

An electrochemiluminescence (ECL) biosensor is described for the detection of microRNA (miRNA-155) based on tris(bipyridine)ruthenium(II) functionalized metal organic framework (RuMOF) materials. The material was prepared by a solvothermal method and was found to be stable even in acidic solution. However, it is selectively and sensitively disassembled by Hg(II) ions, resulting in the release of large quantities of Ru(II)(bpy)

Indexed as

Electrochemical TechniquesLuminescent MeasurementsBiosensing TechniquesElectrodesGoldHumansMercuryMetal NanoparticlesMetal-Organic FrameworksMicroRNAsRutheniumGoldMercuryMetal-Organic FrameworksMicroRNAsRutheniumIon-selective disassemblySignal amplificationStrand displacement process

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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.