Evidence map›Paper›PMID 35064302›Full record

ReviewAnalytical and bioanalytical chemistry2022

Recent advancements in microfluidic chip biosensor detection of foodborne pathogenic bacteria: a review.

Fang Mi, Cunming Hu, Ying Wang, Li Wang, Fei Peng, PengFei Geng, Ming Guan

Abstract readReview
In one paragraph

Review in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
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  5. Rapid Detection ofBiosensors · 2025
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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

7 authors.

Fang MiCollege of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830017, China.
Cunming HuCollege of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830017, China.
Ying WangCollege of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830017, China.
Li WangDepartment of Cuisine and Tourism, Xinjiang Bingtuan Xingxin Vocational and Technical College, Urumqi, 830074, China.
Fei PengCollege of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830017, China.
PengFei GengCollege of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830017, China.
Ming GuanCollege of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830017, China. 635880760@qq.com.

Funding

National Natural Science Foundation of China 22064016Natural Science Foundation of Xinjiang Uygur Autonomous Region 2019D01A69Natural Science Foundation of Xinjiang Uygur Autonomous Region 2019D01B36Scientific Research and Development Project of Xinjiang Normal University XJNUZX202003the Doctoral Research and Innovation Program of Xinjiang Normal University XJ107622007Tianshan Innovation Team Plan of Xinjiang Uygur Autonomous Region 2021D14017Xinjiang Uygur Autonomous Region University Scientific Research Program Key Project XJEDU2019I019
6 · The paper itself

Abstract

Foodborne diseases caused by pathogenic bacteria pose a serious threat to human health. Early and rapid detection of foodborne pathogens is an urgent task for preventing disease outbreaks. Microfluidic devices are simple, automatic, and portable miniaturized systems. Compared with traditional techniques, microfluidic devices have attracted much attention because of their high efficiency and convenience in the concentration and detection of foodborne pathogens. This article firstly reviews the bio-recognition elements integrated on microfluidic chips in recent years and the progress of microfluidic chip development for pathogen pretreatment. Furthermore, the research progress of microfluidic technology based on optical and electrochemical sensors for the detection of foodborne pathogenic bacteria is summarized and discussed. Finally, the future prospects for the application and challenges of microfluidic chips based on biosensors are presented.

Indexed as

Biosensing TechniquesFoodborne DiseasesBacteriaHumansLab-On-A-Chip DevicesMicrofluidicsBio-recognition elementBiosensorsFoodborne pathogenic bacteriaMicrofluidic chip

Identifiers

PMID35064302
PMCPMC8782221

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.