Evidence map›Paper›PMID 39203695›Full record

ArticleMicromachines2024

Research on the Key Technology of a Fluorescence Detection Device Using the RT-LAMP Method for Instant Detection.

Hongzhuang Guo, Ping Gong, Tingting Sun, Xin Wang, Hao Zhang

Abstract read
In one paragraph

Article in Micromachines, 2024. 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
0cells of the map it votes in
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

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

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

5 authors.

Hongzhuang GuoSchool of Physics, Changchun University of Science and Technology, Changchun 130022, China.
Ping GongSchool of Life Science and Technology, Changchun University of Science and Technology, Changchun 130022, China.
Tingting SunSchool of Physics, Changchun University of Science and Technology, Changchun 130022, China.ORCID 0000-0003-0830-1812
Xin WangSchool of Physics, Changchun University of Science and Technology, Changchun 130022, China.
Hao ZhangSchool of Life Science and Technology, Changchun University of Science and Technology, Changchun 130022, China.

Funding

Science and Technology Development Programme of Jilin Province (CN) 20210401153YY
6 · The paper itself

Abstract

As of 31 October 2023, there have been 771,795,258 confirmed cases of COVID-19 globally. Developing simple, portable, and reliable testing devices has become increasingly important. This paper presents a point-of-care testing (POCT) device for COVID-19 based on the dual-excitation fluorescence RT-LAMP method, which is derived from the principles of RT-LAMP-based COVID-19 detection kits available in the market. The key design solutions of the device were simulated and modeled. Key performance metrics such as detection repeatability and linearity were validated. Comparative experiments with the RT-qPCR detection method were conducted to verify the accuracy and reliability of the device. Additionally, the device's detection sensitivity and accuracy were assessed. Experimental results show that the repeatability coefficient of variation (CV) value is ≤0.09%; the linearity R

Indexed as

COMSOL simulationcoronavirus testsoptical signal detectionPOCTZemax simulation

Identifiers

PMID39203695
PMCPMC11356520

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.