Evidence map›Paper›PMID 38002125›Full record

ReviewFoods (Basel, Switzerland)2023

The Application of Hybridization Chain Reaction in the Detection of Foodborne Pathogens.

Jinbin Zhao, Yulan Guo, Xueer Ma, Shitong Liu, Chunmeng Sun, Ming Cai, Yuyang Chi, Kun Xu

Open access · goldAbstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Comprehensive advances in CsPbBrNanoscale advances · 2026
    Review
  3. Review
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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

8 authors at 2 institutions in 1 country.

Jinbin ZhaoSchool of Medicine, Hunan Normal University, Changsha 410013, China.
Yulan GuoDepartment of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun 130021, China.
Xueer MaDepartment of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun 130021, China.
Shitong LiuDepartment of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun 130021, China.
Chunmeng SunDepartment of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun 130021, China.
Ming CaiDepartment of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun 130021, China.
Yuyang ChiDepartment of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun 130021, China.
Kun XuSchool of Medicine, Hunan Normal University, Changsha 410013, China.
Jilin University · CNHunan Normal University · CN

Funding

Department of Education of Jilin Province JJKH20180239KJDepartment of Education of Jilin Province JJKH20211220KJDepartment of Education of Jilin Province JJKH20211221KJJilin Provincial Health and Family Planning Commission 2017J074National Natural Science Foundation of China 81401721National Natural Science Foundation of China 82173572the Jilin Provincial Development and Reform Commission 2020C038-7the Science and Technology Development Bureau of Jilin Province, China 2018010195JC
6 · The paper itself

Abstract

Today, with the globalization of the food trade progressing, food safety continues to warrant widespread attention. Foodborne diseases caused by contaminated food, including foodborne pathogens, seriously threaten public health and the economy. This has led to the development of more sensitive and accurate methods for detecting pathogenic bacteria. Many signal amplification techniques have been used to improve the sensitivity of foodborne pathogen detection. Among them, hybridization chain reaction (HCR), an isothermal nucleic acid hybridization signal amplification technique, has received increasing attention due to its enzyme-free and isothermal characteristics, and pathogenic bacteria detection methods using HCR for signal amplification have experienced rapid development in the last five years. In this review, we first describe the development of detection technologies for food contaminants represented by pathogens and introduce the fundamental principles, classifications, and characteristics of HCR. Furthermore, we highlight the application of various biosensors based on HCR nucleic acid amplification technology in detecting foodborne pathogens. Lastly, we summarize and offer insights into the prospects of HCR technology and its application in pathogen detection.

Indexed as

biosensorfoodborne pathogensfood safetyhybridization chain reaction

Identifiers

PMID38002125
PMCPMC10670596
OpenAlexW4388530518

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.