Evidence map›Paper›PMID 35966151›Full record

ArticleNano research2023

Super-assembly of integrated gold magnetic assay with loop-mediated isothermal amplification for point-of-care testing.

Jianping Liang, Jie Zeng, Xiaojuan Huang, Tengteng Zhu, Yonglong Gong, Chen Dong, Xiangrong Wang, Lingzhi Zhao, Lei Xie, Kang Liang and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Nano research, 2023. 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
0.7field-weighted citation impact, top 37% of its field
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, 8 citations in OpenAlex.

  1. 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

14 authors at 4 institutions in 2 countries.

Jianping Liang *The College of life science, Northwest University, Xi'an, 710069 China.
Jie Zeng *Department of Chemistry, Shanghai Key Lab of Molecular Catalysis and Innovative Materials, Collaborative Innovation Center of Chemistry for Energy Materials, Fudan University, Shanghai, 200438 China.
Xiaojuan HuangThe College of life science, Northwest University, Xi'an, 710069 China.
Tengteng ZhuThe College of life science, Northwest University, Xi'an, 710069 China.
Yonglong GongThe College of life science, Northwest University, Xi'an, 710069 China.
Chen DongThe College of life science, Northwest University, Xi'an, 710069 China.
Xiangrong WangThe College of life science, Northwest University, Xi'an, 710069 China.
Lingzhi ZhaoThe College of life science, Northwest University, Xi'an, 710069 China.
Lei XieDepartment of Chemistry, Shanghai Key Lab of Molecular Catalysis and Innovative Materials, Collaborative Innovation Center of Chemistry for Energy Materials, Fudan University, Shanghai, 200438 China.
Kang LiangSchool of Chemical Engineering, Graduate School of Biomedical Engineering, and Australian Centre for NanoMedicine, University of New South Wales, Sydney, NSW 2052 Australia.
Qiongxiang TanThe College of life science, Northwest University, Xi'an, 710069 China.
Yali CuiThe College of life science, Northwest University, Xi'an, 710069 China.
Biao KongDepartment of Chemistry, Shanghai Key Lab of Molecular Catalysis and Innovative Materials, Collaborative Innovation Center of Chemistry for Energy Materials, Fudan University, Shanghai, 200438 China.
Wenli HuiThe College of life science, Northwest University, Xi'an, 710069 China.
Northwest University · CNCollaborative Innovation Center of Chemistry for Energy Materials · CNFudan University · CNUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasing global threat of various diseases and infections, it is essential to develop a fast, low-cost, and easy-to-use point-of-care testing (POCT) system for inspections at all levels of medical institutions and self-examination at home. In this work, gold magnetic nanoparticles (GMNPs) are used as the key material, and a rapid visual detection method is designed through integrating loop-mediated isothermal amplification (LAMP) and lateral flow assay (LFA) biosensor for detecting a variety of analytes which includes whole blood, buccal swabs, and DNA. It is worth to note that the proposed method does not need DNA extraction. Furthermore, uracil DNA glycosylase (UDG) is employed to eliminate carrier contamination for preventing false positive results. The whole detection process can be finished within 25 min. The accuracy of detection is measured by assessing the polymorphisms of the methylenetetrahydrofolate reductase (MTHFR) C677T. The detection limit of the newly developed extraction-free detection system for MTHFR C677T is 0.16 ng/μL. A preliminary clinical study of the proposed method is carried out by analyzing 600 clinical samples (including 200 whole blood samples, 100 buccal swabs, and 300 genomic DNA samples). The results indicate that the proposed method is 100% consistent with the sequencing results which provides a new choice for POCT and shows a broad application prospect in all levels of medical clinics and at home. Electronic Supplementary Material: Supplementary material (details for MTHFR C677T primer sequences, the cell count results of samples at different dilution ratios, genotyping results and frequency samples, a Hardy-Weinberg equilibrium test, the sensitivity of the system, detection results of multiple samples, and optimization of the system) is available in the online version of this article at 10.1007/s12274-022-4692-9.

Indexed as

free extractiongold magnetic nanoparticleslateral flow assay systemloop-mediated isothermal amplificationsingle-nucleotide polymorphisms genotyping

Identifiers

PMID35966151
PMCPMC9362447
OpenAlexW4289778676

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.