Evidence map›Paper›PMID 34182947›Full record

ArticleBMC microbiology2021

A newly developed paper embedded microchip based on LAMP for rapid multiple detections of foodborne pathogens.

Mimi Zhang, Jinfeng Liu, Zhiqiang Shen, Yongxin Liu, Yang Song, Yu Liang, Zhende Li, Lingmei Nie, Yanjun Fang, Youquan Zhao

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 64 citations in OpenAlex.

  1. Review
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  12. Antibiotic Resistance and Epidemiology ofInfection and drug resistance · 2023
    Article
  13. Review
  14. Paper-based sensors for bacteria detection.Nature reviews bioengineering · 2023
    Review
  15. A portable system for economical nucleic acid amplification testing.Frontiers in bioengineering and biotechnology · 2023
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Detection of UnamplifiedBiosensors · 2022
    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

10 authors at 1 institution in 1 country.

Mimi ZhangCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China. zmm0325@sjtu.edu.cn.
Jinfeng LiuCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China.
Zhiqiang ShenTianjin Institute of Health and Environmental Medicine, A Key Laboratory of Risk Assessment and Control for Environment and Food Safety, Tianjin, 300050, China. szq922990@126.com.
Yongxin LiuCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China.
Yang SongCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China.
Yu LiangTianjin Institute of Health and Environmental Medicine, A Key Laboratory of Risk Assessment and Control for Environment and Food Safety, Tianjin, 300050, China.
Zhende LiCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China.
Lingmei NieCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China.
Yanjun FangTianjin Institute of Health and Environmental Medicine, A Key Laboratory of Risk Assessment and Control for Environment and Food Safety, Tianjin, 300050, China.
Youquan ZhaoCollege of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China. zhaoyouquan@tju.edu.cn.
Tianjin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicrofluidic chip detection technology is considered a potent tool for many bioanalytic applications. Rapid detection of foodborne pathogens in the early stages is imperative to prevent the outbreak of foodborne diseases, known as a severe threat to human health. Conventional bacterial culture methods for detecting foodborne pathogens are time-consuming, laborious, and lacking in pathogen diagnosis. To overcome this problem, we have created an embedded paper-based microchip based on isothermal loop amplification (LAMP), which can rapidly and sensitively detect foodborne pathogens.

resultsWe embed paper impregnated with LAMP reagent and specific primers in multiple reaction chambers of the microchip. The solution containing the target pathogen was injected into the center chamber and uniformly distributed into the reaction chamber by centrifugal force. The purified DNA of Escherichia coli O157:H7, Salmonella spp., Staphylococcus aureus, and Vibrio parahaemolyticus has been successfully amplified and directly detected on the microchip. The E. coli O157:H7 DNA was identified as low as 0.0134 ng μL

conclusionThe paper embedded LAMP microchip offers inexpensive, user-friendly, and highly selective pathogen detection capabilities. It is expected to have great potential as a quick, efficient, and cost-effective solution for future foodborne pathogen detection.

Indexed as

Lab-On-A-Chip DevicesPaperFoodborne DiseasesFood MicrobiologyMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesCalcein fluorescenceFoodborne pathogensLAMPPaper-based microchipRapid detection

Identifiers

PMID34182947
PMCPMC8240391
OpenAlexW3176691969

What OpenQuestion holds

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LicenceCC BY
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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.