Evidence map›Paper›PMID 40422010›Full record

ArticleBiosensors2025

One-Pot Colorimetric Nucleic Acid Test Mediated by Silver Nanoparticles for DNA Extraction and Detection.

Seung Kyun Park, Kieu The Loan Trinh, Nae Yoon Lee

Abstract read
In one paragraph

Article in Biosensors, 2025. 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. PEI-FeBiosensors · 2025
    Article
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

3 authors.

Seung Kyun ParkDepartment of BioNano Technology, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si 13120, Gyeonggi-do, Republic of Korea.ORCID 0009-0007-5765-5189
Kieu The Loan TrinhBioNano Applications Research Center, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si 13120, Gyeonggi-do, Republic of Korea.ORCID 0000-0002-5318-4742
Nae Yoon LeeDepartment of BioNano Technology, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si 13120, Gyeonggi-do, Republic of Korea.ORCID 0000-0001-5029-4009

Funding

Gachon University GCU-202301200001National Research Foundation of Korea 2021R1A6A1A03038996National Research Foundation of Korea RS-2023-00208684
6 · The paper itself

Abstract

This study introduces a one-pot colorimetric nucleic acid test (NAT) platform that integrates silver nanoparticle (AgNP)-based DNA isolation and colorimetric detection of bacterial genes. The NAT platform is comprised with purification and reaction units that enable cell lysis, DNA purification, loop-mediated isothermal amplification (LAMP), and colorimetric detection. In the purification unit, polyethyleneimine (PEI)-capped AgNPs were used as cell lysis agents because of their cell-disrupting and antimicrobial properties and were immobilized on a glass fiber membrane for DNA capture and isolation. The reaction unit enabled colorimetric detection of DNA amplicons, achieved by the synthesis of AgNPs on chromatography paper formed via the reduction of silver ions present on the paper, mediated by the use of sodium ascorbate, a reducing agent, present in the LAMP reagent, after the reaction. AgNPs were formed only in the presence of the target amplicons in the positive samples after reaction at 65 °C for 5 min. Bacterial DNA was efficiently extracted using this method, and

Indexed as

ColorimetryDNA, BacterialMetal NanoparticlesSilverBiosensing TechniquesEnterococcus faeciumNucleic Acid Amplification TechniquesDNA, BacterialSilvercolorimetric detectionglass fiber membraneloop-mediated isothermal amplificationone-pot colorimetric nucleic acid testpolyethyleneiminesilver nanoparticlessodium ascorbate

Identifiers

PMID40422010
PMCPMC12109928

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.