Evidence map›Paper›PMID 36671837›Full record

ArticleBiosensors2022

Improvement of Seed-Mediated Growth of Gold Nanoparticle Labels for DNA Membrane-Based Assays.

Galina V Presnova, Gleb A Zhdanov, Luibov Yu Filatova, Mariya M Ulyashova, Denis E Presnov, Maya Yu Rubtsova

Abstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Galina V PresnovaDepartment of Chemistry, M.V. Lomonosov Moscow State University, 119991 Moscow, Russia.
Gleb A ZhdanovDepartment of Chemistry, M.V. Lomonosov Moscow State University, 119991 Moscow, Russia.ORCID 0000-0003-4082-9684
Luibov Yu FilatovaDepartment of Chemistry, M.V. Lomonosov Moscow State University, 119991 Moscow, Russia.
Mariya M UlyashovaDepartment of Chemistry, M.V. Lomonosov Moscow State University, 119991 Moscow, Russia.
Denis E PresnovD.V. Skobeltsyn Institute of Nuclear Physics, M.V. Lomonosov Moscow State University, 119991 Moscow, Russia.ORCID 0000-0002-9213-0165
Maya Yu RubtsovaDepartment of Chemistry, M.V. Lomonosov Moscow State University, 119991 Moscow, Russia.ORCID 0000-0003-4025-5967

Funding

Interdisciplinary Scientific and Educational School of Moscow State University "Photonic and Quantum Technologies. Digital Medicine", M.V. Lomonosov Moscow State University state task 121041500039-8
6 · The paper itself

Abstract

Gold nanoparticles (AuNPs) are popular labels for colorimetric detection of various analytes, involving proteins, nucleic acids, viruses, and whole cells because of their outstanding optical properties, inertness, and modification variability. In this work, we present an improved approach for enhancement of color intensity for DNA membrane microarrays based on seed-mediated growth of AuNP labels. Biotin-labeled DNA is hybridized with capture oligonucleotide probes immobilized on the microarrays. Then biotin is revealed by a streptavidin-AuNP conjugate followed by the detection of AuNPs. Optimization of seed-mediated enlargement of AuNPs by the reduction of tetrachloroauric acid with hydroxylamine made it possible to change the coloring of specific spots on the microarrays from pink to a more contrasting black with minor background staining. Mean size of the resulting AuNPs was four times larger than before the enhancement. Adjusting the pH of HAuCl

Indexed as

GoldMetal NanoparticlesBiotinDNAOligonucleotide Array Sequence AnalysisBiotinDNAGoldDNA hybridizationgold nanoparticlesmembrane-based assaysseed-mediated growthstaining enhancement

Identifiers

PMID36671837
PMCPMC9855534

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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.