Evidence map›Paper›PMID 32661732›Full record

ArticleMikrochimica acta2020

Fluorescent detection of Cu (II) ions based on DNAzymatic cascaded cyclic amplification.

Jingjing Tian, Zaihui Du, Longjiao Zhu, Xiangli Shao, Xiangyang Li, Wentao Xu

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Jingjing TianKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100083, China.
Zaihui DuKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100083, China.
Longjiao ZhuKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100083, China.
Xiangli ShaoKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100083, China.
Xiangyang LiFood Science and Engineering College, Beijing University of Agriculture, Beijing, 102206, China.
Wentao XuKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100083, China. xuwentao@cau.edu.cn.ORCID http://orcid.org/0000-0002-8572-8257

Funding

National Natural Science Foundation of China 31871875National Science and Technology Major Project 2018ZX08012-001
6 · The paper itself

Abstract

A fluorescent biosensor based on the cascaded cyclic amplification-lighted copper nanoparticles has been developed, optimized, and validated. In the double-modular cascaded cyclic amplification, a DNAzymatic cyclic amplification unit transforms metal ion signal to specific DNA sequences, and a linear/exponential integrated amplification unit converts as-prepared DNA codes to identical thymine (T)-rich DNA templates. T-rich scaffolds can induce the generation of red fluorescent copper nanoparticles, with fluorescence emission at 625 nm upon the excitation at 340 nm, as signal vehicles for quantitative detection of metal ions. Copper ions, selected as the model target, could be detected in a wide linear range from 10 to 10

Indexed as

Ascorbic AcidBiosensing TechniquesColorimetryCopperDNA, CatalyticDrinking WaterFluorescenceLimit of DetectionMetal NanoparticlesNucleic Acid Amplification TechniquesOxidation-ReductionWater Pollutants, ChemicalAscorbic AcidCopperDNA, CatalyticDrinking WaterWater Pollutants, ChemicalBiosensorCascaded cyclic amplificationCopper nanoparticlesDNA nanotechnology

Identifiers

PMID32661732

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.