Evidence map›Paper›PMID 39370436›Full record

ArticleMikrochimica acta2024

Systematic optimization of UCNPs-LFA for Helicobacter pylori nucleic acid detection at point-of-care.

Birui Jin, Siyu Li, Chuyao Zhang, Chuan Ma, Jie Hu, Jun Wang, Zedong Li

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2024. 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. Review
  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

7 authors.

Birui JinSchool of Materials and Chemical Engineering, Xi'an Technological University, Xi'an, 710021, People's Republic of China.
Siyu LiSchool of Materials and Chemical Engineering, Xi'an Technological University, Xi'an, 710021, People's Republic of China.
Chuyao ZhangSchool of Materials and Chemical Engineering, Xi'an Technological University, Xi'an, 710021, People's Republic of China.
Chuan MaSchool of Materials and Chemical Engineering, Xi'an Technological University, Xi'an, 710021, People's Republic of China.
Jie HuSuzhou Innovation Center for Life Science and Technology, Suzhou DiYinAn Biotech Co., Ltd, Suzhou, 215129, People's Republic of China. jason.hu@sz-dna.cn.
Jun WangDepartment of Health Evaluation and Promotion, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China. wangjundr@xjtu.edu.cn.
Zedong LiBioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China.

Funding

Natural Science Foundation of the Anhui Higher Education Institutions of China KJ2021ZD0150
6 · The paper itself

Abstract

Helicobacter pylori (Hp) prevail globally as the primary cause of gastritis, gastric ulcer, and potential gastric cancer, highlighting the need for rapid and precise point-of-care (POC) detection of Hp nucleic acid. Upconversion nanoparticle-based lateral flow assay (UCNPs-LFA) exhibit great potential in POC detection, due to their high optical stability and absence of background fluorescence. However, insufficient sensitivity for nucleic acid detection remains a key challenge. This study systematically optimizes UCNPs-LFA by focusing on target capture, signal transduction, signal separation, and signal analysis, to enhance its detection capabilities for Hp nucleic acid. The optimized UCNPs-LFA platform features a significantly decreased detection limit, a broadened detection range, and high reliability. Results demonstrate that the limit of detection (LOD) is 25 fM, a 10

Indexed as

Helicobacter pyloriLimit of DetectionNanoparticlesPoint-of-Care SystemsDNA, BacterialHelicobacter InfectionsHumansDNA, BacterialLateral flow assaysNucleic acid detectionPoint-of-care testingSensitivity optimization

Identifiers

PMID39370436

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.