Evidence map›Paper›PMID 38976069›Full record

ArticleMikrochimica acta2024

An integrated magnetic separation enzyme-linked colorimetric sensing platform for field detection of Escherichia coli O157: H7 in food.

Chunxin Wang, Rong Deng, Haiqin Li, Zhigang Liu, Xiaofeng Niu, Xiaochun Li

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2024. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Advances in Immunological Methods for the Detection ofSensors (Basel, Switzerland) · 2026
    Review
  3. Article
  4. Review
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

6 authors.

Chunxin Wang *Institute of Biomedical Precision Testing and Instrumentation, College of Biomedical Engineering, Taiyuan University of Technology, Jinzhong, 030600, Shanxi, China.
Rong Deng *Institute of Biomedical Precision Testing and Instrumentation, College of Biomedical Engineering, Taiyuan University of Technology, Jinzhong, 030600, Shanxi, China. dengrong@tyut.edu.cn.
Haiqin LiInstitute of Biomedical Precision Testing and Instrumentation, College of Biomedical Engineering, Taiyuan University of Technology, Jinzhong, 030600, Shanxi, China.
Zhigang LiuAnalysis & Testing Center, Jilin Institute of Chemical Technology, Jilin, 132000, Jilin, China.
Xiaofeng NiuTaiyuan Liuweizhai Industrial Co., Ltd, Taiyuan, 030024, Shanxi, China.
Xiaochun LiInstitute of Biomedical Precision Testing and Instrumentation, College of Biomedical Engineering, Taiyuan University of Technology, Jinzhong, 030600, Shanxi, China. lixiaochun@tyut.edu.cn.

Funding

Natural Science Foundation of China 21874098Natural Science Foundation of China 81741095Natural Science Foundation of Shanxi Province 20210302124683Research project of Taiyuan Liuweizhai Industrial Co., Ltd. Research project of Taiyuan Liuweizhai Industrial Co., Ltd.Shanxi Province International Collaboration Project 201903D421053
6 · The paper itself

Abstract

An intelligent colorimetric sensing platform integrated with in situ immunomagnetic separation function was developed for ultrasensitive detection of Escherichia coli O157: H7 (E. coli O157: H7) in food. Captured antibody modified magnetic nanoparticles (cMNPs) and detection antibody/horseradish peroxidase (HRP) co-functionalized AuNPs (dHAuNPs) were firstly synthesized for targeted enrichment and colorimetric assay of E. coli O157: H7, in which remarkable signal amplification was realized by loading large amounts of HRP on the surface of AuNPs. Coupling with the optical collimation attachments and embedded magnetic separation module, a highly integrated optical device was constructed, by which in situ magnetic separation and high-quality imaging of 96-well microplates containing E. coli O157: H7 was achieved with a smartphone. The concentration of E. coli O157: H7 could be achieved in one-step by performing digital image colorimetric analysis of the obtained image with a custom-designed app. This biosensor possesses high sensitivity (1.63 CFU/mL), short detecting time (3 h), and good anti-interference performance even in real-sample testing. Overall, the developed method is expected to be a novel field detection platform for foodborne pathogens in water and food as well as for the diagnosis of infections due to its portability, ease of operation, and high feasibility.

Indexed as

Biosensing TechniquesColorimetryEscherichia coli O157Food MicrobiologyGoldHorseradish PeroxidaseImmunomagnetic SeparationMetal NanoparticlesAntibodies, ImmobilizedFood ContaminationLimit of DetectionMagnetite NanoparticlesSmartphoneAntibodies, ImmobilizedGoldHorseradish PeroxidaseMagnetite NanoparticlesColorimetric analysisFood safetyImmunomagnetic separationPathogenic bacteriaSmartphone imaging

Identifiers

PMID38976069

What OpenQuestion holds

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Registered trials

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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.