Evidence map›Paper›PMID 36156217›Full record

ArticleAnalytica chimica acta2022

Development of a low-cost multi-channel nucleic acid detection PCR instrument and clinical detection application of COVID-19.

Shuang Ma, Kangning Wang, Yangyang Jiang, Yu Guo, Yipeng Zhang, YingJun Gao, Wenming Wu

Abstract read
In one paragraph

Article in Analytica chimica acta, 2022. 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. 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

7 authors.

Shuang MaInstitute of Biological and Medical Engineering, Guangdong Academy of Sciences, PR China.
Kangning WangInstitute of Biological and Medical Engineering, Guangdong Academy of Sciences, PR China.
Yangyang JiangInstitute of Biological and Medical Engineering, Guangdong Academy of Sciences, PR China.
Yu GuoSchool of Mechanical and Electrical Engineering, Guangdong University of Technology, PR China.
Yipeng ZhangSchool of Biomedical Engineering, Southern Medical University, PR China.
YingJun GaoSchool of Biotechnology and Health Sciences, Wuyi University, PR China.
Wenming WuInstitute of Biological and Medical Engineering, Guangdong Academy of Sciences, PR China; Fudan University, Shanghai, 200433, PR China. Electronic address: wuwenming627@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the COVID-19 outbreak at the end of December 2019, a variety of novel Coronavirus nucleic acid detection methods have been proposed at home and abroad. Because of the disadvantages of most existing PCR instruments on the market such as long reaction time and high cost, this study developed a more timesaving and cheaper two-channel real-time quantitative PCR instrument. In this instrument, a PCR system combining a thermal cycle system and real-time fluorescence quantitative technology was designed. The software system and data processing, optical system, thermal cycle module, and hardware module of the PCR instrument were studied. The low-cost, portable real-time quantitative PCR system has been validated with consistent results compared to Bio-rad CFX Connect. At the same time, the same samples were used for the contract experiment with the hospital instrument, and the amplification result was better than the existing instrument in the hospital.

Indexed as

COVID-19Nucleic AcidsCOVID-19 TestingHumansNucleic Acid Amplification TechniquesReal-Time Polymerase Chain ReactionSARS-CoV-2Nucleic AcidsDouble channelLow-costNovel coronavirusReal-time fluorescence quantitative PCR

Identifiers

PMID36156217
PMCPMC9472591

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.