Evidence map›Paper›PMID 32288255›Full record

ArticleSensors and actuators. B, Chemical2019

DNA-programming multicolor silver nanoclusters for sensitively simultaneous detection of two HIV DNAs.

Rong Zou, Feng Zhang, Chunyan Chen, Changqun Cai

Abstract read
In one paragraph

Article in Sensors and actuators. B, Chemical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

4 authors.

Rong ZouKey Laboratory for Green Organic Synthesis and Application of Hunan Province, Key Laboratory of Environmentally Friendly Chemistry and Application of Ministry of Education, College of Chemistry, Xiangtan University, Xiangtan 411105, China.
Feng ZhangCollege of Science, Hunan Agricultural University, Changsha, 410128, China.
Chunyan ChenKey Laboratory for Green Organic Synthesis and Application of Hunan Province, Key Laboratory of Environmentally Friendly Chemistry and Application of Ministry of Education, College of Chemistry, Xiangtan University, Xiangtan 411105, China.
Changqun CaiKey Laboratory for Green Organic Synthesis and Application of Hunan Province, Key Laboratory of Environmentally Friendly Chemistry and Application of Ministry of Education, College of Chemistry, Xiangtan University, Xiangtan 411105, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel DNA-stabilized silver nanoclusters (AgNCs)-based label-free fluorescent platform for simultaneously detecting two human immunodeficiency virus oligonucleotides (HIV DNAs) was developed. The sensing platform was established based on fluorescence enhancement of guanine (G)-rich and the phenomenon in the process of two silver nanoclusters (AgNCs) forming a nanoclusters dimer. The probe (AgNCs/G) utilized for HIV-1 detection adopted an effective conformation based on enhancement effect of G-rich sequence (at 500 nm ex / 565 nm em) while the probe (AgNCs/AgNCs) for HIV-2 generated fluorescence signals (at 580 nm ex / 630 nm em) with bright fluorescence only in nanoclusters dimer. The nanoprobe shows high selectivity for multiplexed analysis of target DNA with a detection limit of 11 pM, respectively. Moreover, this is the first time to use the affectivity of fluorescent AgNCs and two HIV DNAs simultaneous detection integrated into a novel method, which shows a great promise in biomedical research and early clinical diagnosis.

Indexed as

Ag nanoclustersHIV DNALabel-freeSimultaneous detection

Identifiers

PMID32288255
PMCPMC7126789

What OpenQuestion holds

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Registered trials

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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.