Evidence map›Paper›PMID 40978397›Full record

ArticleACS omega2025

Electrostatically Adjustable AuNR-Mediated Thermal-Start Isothermal Nucleic Acid Amplification.

Hanhua Li, Jiale Gao, Huiwen Xiong, Dilimulati Yishake, Lin Liu, Jilie Kong, Qin Chen, Xueen Fang, Wenhao Weng

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Hanhua LiDepartment of Clinical Laboratory, Institute of Pediatric Infection, Immunity, and Critical Care Medicine, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200062, China.ORCID https://orcid.org/0000-0002-0203-0823
Jiale GaoSchool of Life Sciences and Technology, Tongji University, Shanghai 200092, China.
Huiwen XiongDepartment of Clinical Laboratory, Institute of Pediatric Infection, Immunity, and Critical Care Medicine, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200062, China.
Dilimulati YishakeDepartment of Chemistry, Fudan University, Shanghai 200433, China.
Lin LiuDepartment of Chemistry, Fudan University, Shanghai 200433, China.
Jilie KongDepartment of Chemistry, Fudan University, Shanghai 200433, China.
Qin ChenShanghai Key Laboratory of Bio-Energy Crops, School of Life Sciences, Shanghai University, Shanghai 200444, China.
Xueen FangDepartment of Chemistry, Fudan University, Shanghai 200433, China.ORCID https://orcid.org/0000-0002-3266-7868
Wenhao WengDepartment of Clinical Laboratory, Institute of Pediatric Infection, Immunity, and Critical Care Medicine, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200062, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Loop-mediated isothermal amplification (LAMP) holds great promise for rapid nucleic acid detection. However, its application is hindered by the notable occurrence of false positives. In this work, gold nanorod (AuNR)-mediated hot start effect, which adsorbs primers and controls the release of single-stranded DNA (ssDNA) primers at about 50 °C, was demonstrated. The AuNR-mediated LAMP reaction for detecting African horse sickness virus (AHSV) showed high selectivity against other DNA fragments, even at high magnesium concentrations. Furthermore, the assay achieves excellent sensitivity with a detection limit of 100 copies/μL. Additionally, the method displays good repeatability from 50 to 65 °C (optimal), and the coefficient of variation of Tt at the same concentration of nucleic acids is less than 5%. Our study optimizes the LAMP reaction using AuNRs, thereby reducing false positives and offering great potential for clinical diagnosis.

Identifiers

PMID40978397
PMCPMC12444552

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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.