Evidence map›Paper›PMID 34207580›Full record

ReviewBiosensors2021

Biosensors Coupled with Signal Amplification Technology for the Detection of Pathogenic Bacteria: A Review.

Fengchun Huang, Yingchao Zhang, Jianhan Lin, Yuanjie Liu

Abstract readReview
In one paragraph

Review in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Review
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  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Wearable biosensors for human fatigue diagnosis: A review.Bioengineering & translational medicine · 2023
    Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. 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

4 authors.

Fengchun HuangInstitute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China.
Yingchao ZhangCollege of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China.
Jianhan LinCollege of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China.ORCID 0000-0001-9458-1077
Yuanjie LiuCollege of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China.ORCID 0000-0002-3041-893X

Funding

Fundamental Research Funds for the Central Universities 2019TC045National Natural Science Foundation of China 61807032
6 · The paper itself

Abstract

Foodborne disease caused by foodborne pathogens is a very important issue in food safety. Therefore, the rapid screening and sensitive detection of foodborne pathogens is of great significance for ensuring food safety. At present, many research works have reported the application of biosensors and signal amplification technologies to achieve the rapid and sensitive detection of pathogenic bacteria. Thus, this review summarized the use of biosensors coupled with signal amplification technology for the detection of pathogenic bacteria, including (1) the development, concept, and principle of biosensors; (2) types of biosensors, such as electrochemical biosensors, optical biosensors, microfluidic biosensors, and so on; and (3) different kinds of signal amplification technologies applied in biosensors, such as enzyme catalysis, nucleic acid chain reaction, biotin-streptavidin, click chemistry, cascade reaction, nanomaterials, and so on. In addition, the challenges and future trends for pathogenic bacteria based on biosensor and signal amplification technology were also discussed and summarized.

Indexed as

BacteriaBiosensing TechniquesFood MicrobiologyFood SafetyNanostructuresNucleic AcidsTechnologyNucleic Acidsbiosensorfoodborne pathogensfood safetysignal amplification

Identifiers

PMID34207580
PMCPMC8227973

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.